Activity grouping (except CNAE 56, 64-66 and 95.1)	Main variables	Size of the enterprise	Total
Total Enterprises	I.1 % of enterprises that analyzed Big Data	Total	11,24
Total Enterprises	I.1 % of enterprises that analyzed Big Data	From 10 to 49	9,25
Total Enterprises	I.1 % of enterprises that analyzed Big Data	From 50 to 249	18,8
Total Enterprises	I.1 % of enterprises that analyzed Big Data	250 or more	31,01
Total Enterprises	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	Total	33,62
Total Enterprises	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 10 to 49	29,79
Total Enterprises	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 50 to 249	38,02
Total Enterprises	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	250 or more	53,75
Total Enterprises	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	Total	49,69
Total Enterprises	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 10 to 49	53,55
Total Enterprises	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 50 to 249	42,13
Total Enterprises	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	250 or more	39,44
Total Enterprises	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	Total	44,18
Total Enterprises	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 10 to 49	45,23
Total Enterprises	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 50 to 249	41,49
Total Enterprises	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	250 or more	43,43
Total Enterprises	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	Total	26,89
Total Enterprises	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 10 to 49	23,57
Total Enterprises	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 50 to 249	31,18
Total Enterprises	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	250 or more	42,8
Total Enterprises	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	Total	68,96
Total Enterprises	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 10 to 49	64,35
Total Enterprises	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 50 to 249	76,65
Total Enterprises	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	250 or more	85,55
Total Enterprises	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	Total	46,41
Total Enterprises	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 10 to 49	48,93
Total Enterprises	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 50 to 249	40,87
Total Enterprises	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	250 or more	41,69
Total Enterprises	I.3 % enterprises with specific training in Big Data (1)	Total	18,75
Total Enterprises	I.3 % enterprises with specific training in Big Data (1)	From 10 to 49	13,91
Total Enterprises	I.3 % enterprises with specific training in Big Data (1)	From 50 to 249	24,15
Total Enterprises	I.3 % enterprises with specific training in Big Data (1)	250 or more	44,59
Total Enterprises	I.4 % enterprises with Big Data training provided by external providers (1)	Total	15,43
Total Enterprises	I.4 % enterprises with Big Data training provided by external providers (1)	From 10 to 49	11,16
Total Enterprises	I.4 % enterprises with Big Data training provided by external providers (1)	From 50 to 249	20,36
Total Enterprises	I.4 % enterprises with Big Data training provided by external providers (1)	250 or more	37,82
1. Total Industry (CNAE 10-39)	I.1 % of enterprises that analyzed Big Data	Total	7,85
1. Total Industry (CNAE 10-39)	I.1 % of enterprises that analyzed Big Data	From 10 to 49	5,31
1. Total Industry (CNAE 10-39)	I.1 % of enterprises that analyzed Big Data	From 50 to 249	16,14
1. Total Industry (CNAE 10-39)	I.1 % of enterprises that analyzed Big Data	250 or more	27,79
1. Total Industry (CNAE 10-39)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	Total	46,92
1. Total Industry (CNAE 10-39)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 10 to 49	43,9
1. Total Industry (CNAE 10-39)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 50 to 249	44,36
1. Total Industry (CNAE 10-39)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	250 or more	70,15
1. Total Industry (CNAE 10-39)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	Total	44,46
1. Total Industry (CNAE 10-39)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 10 to 49	53,12
1. Total Industry (CNAE 10-39)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 50 to 249	34,18
1. Total Industry (CNAE 10-39)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	250 or more	34,61
1. Total Industry (CNAE 10-39)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	Total	38,38
1. Total Industry (CNAE 10-39)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 10 to 49	40,02
1. Total Industry (CNAE 10-39)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 50 to 249	37,51
1. Total Industry (CNAE 10-39)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	250 or more	33,03
1. Total Industry (CNAE 10-39)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	Total	21,86
1. Total Industry (CNAE 10-39)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 10 to 49	17,27
1. Total Industry (CNAE 10-39)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 50 to 249	26,06
1. Total Industry (CNAE 10-39)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	250 or more	31,14
1. Total Industry (CNAE 10-39)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	Total	68,6
1. Total Industry (CNAE 10-39)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 10 to 49	59,38
1. Total Industry (CNAE 10-39)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 50 to 249	77,56
1. Total Industry (CNAE 10-39)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	250 or more	85,52
1. Total Industry (CNAE 10-39)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	Total	46,51
1. Total Industry (CNAE 10-39)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 10 to 49	55,06
1. Total Industry (CNAE 10-39)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 50 to 249	33,55
1. Total Industry (CNAE 10-39)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	250 or more	45,8
1. Total Industry (CNAE 10-39)	I.3 % enterprises with specific training in Big Data (1)	Total	18,5
1. Total Industry (CNAE 10-39)	I.3 % enterprises with specific training in Big Data (1)	From 10 to 49	11,84
1. Total Industry (CNAE 10-39)	I.3 % enterprises with specific training in Big Data (1)	From 50 to 249	22,61
1. Total Industry (CNAE 10-39)	I.3 % enterprises with specific training in Big Data (1)	250 or more	38,36
1. Total Industry (CNAE 10-39)	I.4 % enterprises with Big Data training provided by external providers (1)	Total	16,78
1. Total Industry (CNAE 10-39)	I.4 % enterprises with Big Data training provided by external providers (1)	From 10 to 49	11,56
1. Total Industry (CNAE 10-39)	I.4 % enterprises with Big Data training provided by external providers (1)	From 50 to 249	19,55
1. Total Industry (CNAE 10-39)	I.4 % enterprises with Big Data training provided by external providers (1)	250 or more	33,84
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	I.1 % of enterprises that analyzed Big Data	Total	7,88
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	I.1 % of enterprises that analyzed Big Data	From 10 to 49	5,56
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	I.1 % of enterprises that analyzed Big Data	From 50 to 249	18,21
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	I.1 % of enterprises that analyzed Big Data	250 or more	21,86
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	Total	43,48
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 10 to 49	45,68
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 50 to 249	37,39
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	250 or more	57,62
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	Total	35,05
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 10 to 49	40,42
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 50 to 249	25,9
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	250 or more	37,26
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	Total	50,42
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 10 to 49	46,95
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 50 to 249	55,27
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	250 or more	54,96
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	Total	19,72
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 10 to 49	13,41
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 50 to 249	30,63
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	250 or more	16,28
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	Total	64,28
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 10 to 49	57,58
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 50 to 249	72,08
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	250 or more	81,93
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	Total	46,16
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 10 to 49	53,94
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 50 to 249	34,18
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	250 or more	42,01
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	I.3 % enterprises with specific training in Big Data (1)	Total	9,47
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	I.3 % enterprises with specific training in Big Data (1)	From 10 to 49	2,87
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	I.3 % enterprises with specific training in Big Data (1)	From 50 to 249	16,36
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	I.3 % enterprises with specific training in Big Data (1)	250 or more	31,49
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	I.4 % enterprises with Big Data training provided by external providers (1)	Total	8,59
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	I.4 % enterprises with Big Data training provided by external providers (1)	From 10 to 49	2,87
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	I.4 % enterprises with Big Data training provided by external providers (1)	From 50 to 249	14,81
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	I.4 % enterprises with Big Data training provided by external providers (1)	250 or more	26,27
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	I.1 % of enterprises that analyzed Big Data	Total	8,47
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	I.1 % of enterprises that analyzed Big Data	From 10 to 49	5,5
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	I.1 % of enterprises that analyzed Big Data	From 50 to 249	14,87
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	I.1 % of enterprises that analyzed Big Data	250 or more	26,1
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	Total	35,2
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 10 to 49	11
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 50 to 249	57,04
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	250 or more	57,88
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	Total	46,82
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 10 to 49	58,72
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 50 to 249	40,68
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	250 or more	21,95
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	Total	38,67
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 10 to 49	53,15
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 50 to 249	21,56
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	250 or more	37,24
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	Total	26,07
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 10 to 49	30,32
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 50 to 249	18,44
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	250 or more	33,43
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	Total	63,56
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 10 to 49	49,04
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 50 to 249	77,06
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	250 or more	75,95
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	Total	52,67
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 10 to 49	67,86
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 50 to 249	35,5
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	250 or more	48,82
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	I.3 % enterprises with specific training in Big Data (1)	Total	22,24
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	I.3 % enterprises with specific training in Big Data (1)	From 10 to 49	11,55
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	I.3 % enterprises with specific training in Big Data (1)	From 50 to 249	31,78
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	I.3 % enterprises with specific training in Big Data (1)	250 or more	32,55
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	I.4 % enterprises with Big Data training provided by external providers (1)	Total	19,74
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	I.4 % enterprises with Big Data training provided by external providers (1)	From 10 to 49	11,55
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	I.4 % enterprises with Big Data training provided by external providers (1)	From 50 to 249	27,27
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	I.4 % enterprises with Big Data training provided by external providers (1)	250 or more	26,96
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	I.1 % of enterprises that analyzed Big Data	Total	3,82
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	I.1 % of enterprises that analyzed Big Data	From 10 to 49	2,7
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	I.1 % of enterprises that analyzed Big Data	From 50 to 249	8,09
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	I.1 % of enterprises that analyzed Big Data	250 or more	25,38
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	Total	50,46
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 10 to 49	40,54
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 50 to 249	59,77
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	250 or more	78,79
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	Total	42,42
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 10 to 49	57,01
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 50 to 249	16,43
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	250 or more	30,23
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	Total	43,68
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 10 to 49	58,97
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 50 to 249	24,22
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	250 or more	12,18
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	Total	14,15
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 10 to 49	4,17
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 50 to 249	21,97
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	250 or more	46,39
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	Total	64,84
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 10 to 49	58,85
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 50 to 249	64,66
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	250 or more	95,94
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	Total	46,68
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 10 to 49	48,5
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 50 to 249	44,59
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	250 or more	42,42
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	I.3 % enterprises with specific training in Big Data (1)	Total	12,94
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	I.3 % enterprises with specific training in Big Data (1)	From 10 to 49	6,98
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	I.3 % enterprises with specific training in Big Data (1)	From 50 to 249	14,86
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	I.3 % enterprises with specific training in Big Data (1)	250 or more	38,81
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	I.4 % enterprises with Big Data training provided by external providers (1)	Total	12,46
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	I.4 % enterprises with Big Data training provided by external providers (1)	From 10 to 49	6,98
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	I.4 % enterprises with Big Data training provided by external providers (1)	From 50 to 249	13,17
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	I.4 % enterprises with Big Data training provided by external providers (1)	250 or more	38,81
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	I.1 % of enterprises that analyzed Big Data	Total	8,51
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	I.1 % of enterprises that analyzed Big Data	From 10 to 49	5,66
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	I.1 % of enterprises that analyzed Big Data	From 50 to 249	17,12
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	I.1 % of enterprises that analyzed Big Data	250 or more	26,09
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	Total	53,12
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 10 to 49	54,47
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 50 to 249	43,92
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	250 or more	76,6
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	Total	50,56
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 10 to 49	69,45
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 50 to 249	31,44
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	250 or more	26,02
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	Total	27,27
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 10 to 49	24,57
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 50 to 249	32,88
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	250 or more	21,5
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	Total	21,98
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 10 to 49	19,68
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 50 to 249	24,79
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	250 or more	23,4
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	Total	74,92
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 10 to 49	61,41
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 50 to 249	91,41
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	250 or more	83,42
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	Total	42,44
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 10 to 49	56,23
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 50 to 249	22,77
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	250 or more	42,96
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	I.3 % enterprises with specific training in Big Data (1)	Total	23,99
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	I.3 % enterprises with specific training in Big Data (1)	From 10 to 49	17,72
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	I.3 % enterprises with specific training in Big Data (1)	From 50 to 249	28,77
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	I.3 % enterprises with specific training in Big Data (1)	250 or more	37,14
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	I.4 % enterprises with Big Data training provided by external providers (1)	Total	21,16
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	I.4 % enterprises with Big Data training provided by external providers (1)	From 10 to 49	17,72
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	I.4 % enterprises with Big Data training provided by external providers (1)	From 50 to 249	23,13
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	I.4 % enterprises with Big Data training provided by external providers (1)	250 or more	30,48
1.5. Energy and water (CNAE 35-39)	I.1 % of enterprises that analyzed Big Data	Total	16,08
1.5. Energy and water (CNAE 35-39)	I.1 % of enterprises that analyzed Big Data	From 10 to 49	11,05
1.5. Energy and water (CNAE 35-39)	I.1 % of enterprises that analyzed Big Data	From 50 to 249	22,1
1.5. Energy and water (CNAE 35-39)	I.1 % of enterprises that analyzed Big Data	250 or more	50,58
1.5. Energy and water (CNAE 35-39)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	Total	58,55
1.5. Energy and water (CNAE 35-39)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 10 to 49	59,64
1.5. Energy and water (CNAE 35-39)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 50 to 249	38,9
1.5. Energy and water (CNAE 35-39)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	250 or more	81,96
1.5. Energy and water (CNAE 35-39)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	Total	61,1
1.5. Energy and water (CNAE 35-39)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 10 to 49	53,26
1.5. Energy and water (CNAE 35-39)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 50 to 249	78,93
1.5. Energy and water (CNAE 35-39)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	250 or more	55,5
1.5. Energy and water (CNAE 35-39)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	Total	18,02
1.5. Energy and water (CNAE 35-39)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 10 to 49	13,61
1.5. Energy and water (CNAE 35-39)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 50 to 249	16,42
1.5. Energy and water (CNAE 35-39)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	250 or more	30,23
1.5. Energy and water (CNAE 35-39)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	Total	28,91
1.5. Energy and water (CNAE 35-39)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 10 to 49	21,17
1.5. Energy and water (CNAE 35-39)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 50 to 249	28,42
1.5. Energy and water (CNAE 35-39)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	250 or more	47,25
1.5. Energy and water (CNAE 35-39)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	Total	79,01
1.5. Energy and water (CNAE 35-39)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 10 to 49	76,65
1.5. Energy and water (CNAE 35-39)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 50 to 249	70,43
1.5. Energy and water (CNAE 35-39)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	250 or more	95,73
1.5. Energy and water (CNAE 35-39)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	Total	48,24
1.5. Energy and water (CNAE 35-39)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 10 to 49	45,09
1.5. Energy and water (CNAE 35-39)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 50 to 249	50,95
1.5. Energy and water (CNAE 35-39)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	250 or more	51,9
1.5. Energy and water (CNAE 35-39)	I.3 % enterprises with specific training in Big Data (1)	Total	35,94
1.5. Energy and water (CNAE 35-39)	I.3 % enterprises with specific training in Big Data (1)	From 10 to 49	38,94
1.5. Energy and water (CNAE 35-39)	I.3 % enterprises with specific training in Big Data (1)	From 50 to 249	18,8
1.5. Energy and water (CNAE 35-39)	I.3 % enterprises with specific training in Big Data (1)	250 or more	51,69
1.5. Energy and water (CNAE 35-39)	I.4 % enterprises with Big Data training provided by external providers (1)	Total	34,09
1.5. Energy and water (CNAE 35-39)	I.4 % enterprises with Big Data training provided by external providers (1)	From 10 to 49	36,14
1.5. Energy and water (CNAE 35-39)	I.4 % enterprises with Big Data training provided by external providers (1)	From 50 to 249	18,8
1.5. Energy and water (CNAE 35-39)	I.4 % enterprises with Big Data training provided by external providers (1)	250 or more	49,55
2. Total Construction (CNAE 41-43)	I.1 % of enterprises that analyzed Big Data	Total	8,16
2. Total Construction (CNAE 41-43)	I.1 % of enterprises that analyzed Big Data	From 10 to 49	7,88
2. Total Construction (CNAE 41-43)	I.1 % of enterprises that analyzed Big Data	From 50 to 249	9,96
2. Total Construction (CNAE 41-43)	I.1 % of enterprises that analyzed Big Data	250 or more	16,53
2. Total Construction (CNAE 41-43)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	Total	22,29
2. Total Construction (CNAE 41-43)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 10 to 49	17,88
2. Total Construction (CNAE 41-43)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 50 to 249	53,32
2. Total Construction (CNAE 41-43)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	250 or more	18,91
2. Total Construction (CNAE 41-43)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	Total	70,43
2. Total Construction (CNAE 41-43)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 10 to 49	74,31
2. Total Construction (CNAE 41-43)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 50 to 249	42,94
2. Total Construction (CNAE 41-43)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	250 or more	74,64
2. Total Construction (CNAE 41-43)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	Total	31,7
2. Total Construction (CNAE 41-43)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 10 to 49	33,36
2. Total Construction (CNAE 41-43)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 50 to 249	23
2. Total Construction (CNAE 41-43)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	250 or more	10,17
2. Total Construction (CNAE 41-43)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	Total	12,85
2. Total Construction (CNAE 41-43)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 10 to 49	11,06
2. Total Construction (CNAE 41-43)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 50 to 249	23,59
2. Total Construction (CNAE 41-43)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	250 or more	25,36
2. Total Construction (CNAE 41-43)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	Total	68,68
2. Total Construction (CNAE 41-43)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 10 to 49	67,68
2. Total Construction (CNAE 41-43)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 50 to 249	73,79
2. Total Construction (CNAE 41-43)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	250 or more	82,92
2. Total Construction (CNAE 41-43)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	Total	45,81
2. Total Construction (CNAE 41-43)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 10 to 49	44,6
2. Total Construction (CNAE 41-43)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 50 to 249	54,16
2. Total Construction (CNAE 41-43)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	250 or more	45,88
2. Total Construction (CNAE 41-43)	I.3 % enterprises with specific training in Big Data (1)	Total	4,27
2. Total Construction (CNAE 41-43)	I.3 % enterprises with specific training in Big Data (1)	From 10 to 49	2,59
2. Total Construction (CNAE 41-43)	I.3 % enterprises with specific training in Big Data (1)	From 50 to 249	9,04
2. Total Construction (CNAE 41-43)	I.3 % enterprises with specific training in Big Data (1)	250 or more	57,7
2. Total Construction (CNAE 41-43)	I.4 % enterprises with Big Data training provided by external providers (1)	Total	4,02
2. Total Construction (CNAE 41-43)	I.4 % enterprises with Big Data training provided by external providers (1)	From 10 to 49	2,41
2. Total Construction (CNAE 41-43)	I.4 % enterprises with Big Data training provided by external providers (1)	From 50 to 249	8,29
2. Total Construction (CNAE 41-43)	I.4 % enterprises with Big Data training provided by external providers (1)	250 or more	57,7
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	I.1 % of enterprises that analyzed Big Data	Total	13,45
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	I.1 % of enterprises that analyzed Big Data	From 10 to 49	11,29
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	I.1 % of enterprises that analyzed Big Data	From 50 to 249	21,6
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	I.1 % of enterprises that analyzed Big Data	250 or more	33,3
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	Total	31,68
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 10 to 49	28,92
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 50 to 249	34,4
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	250 or more	48,59
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	Total	48,24
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 10 to 49	50,13
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 50 to 249	45,21
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	250 or more	40,25
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	Total	47,39
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 10 to 49	48,29
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 50 to 249	44,41
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	250 or more	48,28
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	Total	30,12
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 10 to 49	26,97
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 50 to 249	33,76
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	250 or more	47,67
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	Total	69,1
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 10 to 49	64,81
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 50 to 249	76,49
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	250 or more	85,64
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	Total	46,47
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 10 to 49	48,4
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 50 to 249	42,81
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	250 or more	40,03
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	I.3 % enterprises with specific training in Big Data (1)	Total	20,78
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	I.3 % enterprises with specific training in Big Data (1)	From 10 to 49	16,25
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	I.3 % enterprises with specific training in Big Data (1)	From 50 to 249	25,86
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	I.3 % enterprises with specific training in Big Data (1)	250 or more	46,55
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	I.4 % enterprises with Big Data training provided by external providers (1)	Total	16,63
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	I.4 % enterprises with Big Data training provided by external providers (1)	From 10 to 49	12,56
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	I.4 % enterprises with Big Data training provided by external providers (1)	From 50 to 249	21,56
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	I.4 % enterprises with Big Data training provided by external providers (1)	250 or more	38,75
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	I.1 % of enterprises that analyzed Big Data	Total	10,54
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	I.1 % of enterprises that analyzed Big Data	From 10 to 49	9,01
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	I.1 % of enterprises that analyzed Big Data	From 50 to 249	17,39
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	I.1 % of enterprises that analyzed Big Data	250 or more	33,32
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	Total	30,66
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 10 to 49	29,31
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 50 to 249	30,91
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	250 or more	44,81
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	Total	39,25
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 10 to 49	39,83
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 50 to 249	38,55
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	250 or more	34,84
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	Total	56,45
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 10 to 49	59,78
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 50 to 249	46,26
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	250 or more	50,56
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	Total	29,08
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 10 to 49	28,08
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 50 to 249	28,15
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	250 or more	43,05
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	Total	60,45
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 10 to 49	55,54
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 50 to 249	71,59
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	250 or more	81
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	Total	55,86
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 10 to 49	60,36
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 50 to 249	42,5
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	250 or more	46,62
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	I.3 % enterprises with specific training in Big Data (1)	Total	12,56
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	I.3 % enterprises with specific training in Big Data (1)	From 10 to 49	10,14
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	I.3 % enterprises with specific training in Big Data (1)	From 50 to 249	14,57
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	I.3 % enterprises with specific training in Big Data (1)	250 or more	33,27
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	I.4 % enterprises with Big Data training provided by external providers (1)	Total	8,47
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	I.4 % enterprises with Big Data training provided by external providers (1)	From 10 to 49	4,85
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	I.4 % enterprises with Big Data training provided by external providers (1)	From 50 to 249	14,57
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	I.4 % enterprises with Big Data training provided by external providers (1)	250 or more	30
3.2. Transport and storage (CNAE 49-53)	I.1 % of enterprises that analyzed Big Data	Total	18,93
3.2. Transport and storage (CNAE 49-53)	I.1 % of enterprises that analyzed Big Data	From 10 to 49	16,89
3.2. Transport and storage (CNAE 49-53)	I.1 % of enterprises that analyzed Big Data	From 50 to 249	27,72
3.2. Transport and storage (CNAE 49-53)	I.1 % of enterprises that analyzed Big Data	250 or more	36,19
3.2. Transport and storage (CNAE 49-53)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	Total	25,47
3.2. Transport and storage (CNAE 49-53)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 10 to 49	21,85
3.2. Transport and storage (CNAE 49-53)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 50 to 249	31,06
3.2. Transport and storage (CNAE 49-53)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	250 or more	57,17
3.2. Transport and storage (CNAE 49-53)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	Total	85,53
3.2. Transport and storage (CNAE 49-53)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 10 to 49	86,89
3.2. Transport and storage (CNAE 49-53)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 50 to 249	86,86
3.2. Transport and storage (CNAE 49-53)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	250 or more	58,36
3.2. Transport and storage (CNAE 49-53)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	Total	14,48
3.2. Transport and storage (CNAE 49-53)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 10 to 49	15,42
3.2. Transport and storage (CNAE 49-53)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 50 to 249	10,35
3.2. Transport and storage (CNAE 49-53)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	250 or more	18
3.2. Transport and storage (CNAE 49-53)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	Total	9,09
3.2. Transport and storage (CNAE 49-53)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 10 to 49	7,33
3.2. Transport and storage (CNAE 49-53)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 50 to 249	10,65
3.2. Transport and storage (CNAE 49-53)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	250 or more	29,7
3.2. Transport and storage (CNAE 49-53)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	Total	58,84
3.2. Transport and storage (CNAE 49-53)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 10 to 49	55,16
3.2. Transport and storage (CNAE 49-53)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 50 to 249	66,67
3.2. Transport and storage (CNAE 49-53)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	250 or more	81,66
3.2. Transport and storage (CNAE 49-53)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	Total	56,07
3.2. Transport and storage (CNAE 49-53)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 10 to 49	57,13
3.2. Transport and storage (CNAE 49-53)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 50 to 249	54,84
3.2. Transport and storage (CNAE 49-53)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	250 or more	44,98
3.2. Transport and storage (CNAE 49-53)	I.3 % enterprises with specific training in Big Data (1)	Total	8,73
3.2. Transport and storage (CNAE 49-53)	I.3 % enterprises with specific training in Big Data (1)	From 10 to 49	6,5
3.2. Transport and storage (CNAE 49-53)	I.3 % enterprises with specific training in Big Data (1)	From 50 to 249	9,8
3.2. Transport and storage (CNAE 49-53)	I.3 % enterprises with specific training in Big Data (1)	250 or more	38,83
3.2. Transport and storage (CNAE 49-53)	I.4 % enterprises with Big Data training provided by external providers (1)	Total	8,61
3.2. Transport and storage (CNAE 49-53)	I.4 % enterprises with Big Data training provided by external providers (1)	From 10 to 49	6,5
3.2. Transport and storage (CNAE 49-53)	I.4 % enterprises with Big Data training provided by external providers (1)	From 50 to 249	9,8
3.2. Transport and storage (CNAE 49-53)	I.4 % enterprises with Big Data training provided by external providers (1)	250 or more	36,2
3.3. Accommodation services (CNAE 55)	I.1 % of enterprises that analyzed Big Data	Total	14,4
3.3. Accommodation services (CNAE 55)	I.1 % of enterprises that analyzed Big Data	From 10 to 49	12,35
3.3. Accommodation services (CNAE 55)	I.1 % of enterprises that analyzed Big Data	From 50 to 249	19,95
3.3. Accommodation services (CNAE 55)	I.1 % of enterprises that analyzed Big Data	250 or more	27,64
3.3. Accommodation services (CNAE 55)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	Total	25,9
3.3. Accommodation services (CNAE 55)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 10 to 49	22,95
3.3. Accommodation services (CNAE 55)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 50 to 249	31,85
3.3. Accommodation services (CNAE 55)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	250 or more	29,85
3.3. Accommodation services (CNAE 55)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	Total	34,05
3.3. Accommodation services (CNAE 55)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 10 to 49	38,87
3.3. Accommodation services (CNAE 55)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 50 to 249	27,13
3.3. Accommodation services (CNAE 55)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	250 or more	14,64
3.3. Accommodation services (CNAE 55)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	Total	79,56
3.3. Accommodation services (CNAE 55)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 10 to 49	86,46
3.3. Accommodation services (CNAE 55)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 50 to 249	66,24
3.3. Accommodation services (CNAE 55)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	250 or more	67,52
3.3. Accommodation services (CNAE 55)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	Total	27,1
3.3. Accommodation services (CNAE 55)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 10 to 49	18,9
3.3. Accommodation services (CNAE 55)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 50 to 249	40,39
3.3. Accommodation services (CNAE 55)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	250 or more	53,07
3.3. Accommodation services (CNAE 55)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	Total	57,42
3.3. Accommodation services (CNAE 55)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 10 to 49	52,57
3.3. Accommodation services (CNAE 55)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 50 to 249	65,83
3.3. Accommodation services (CNAE 55)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	250 or more	70,34
3.3. Accommodation services (CNAE 55)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	Total	54,98
3.3. Accommodation services (CNAE 55)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 10 to 49	58,51
3.3. Accommodation services (CNAE 55)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 50 to 249	47,31
3.3. Accommodation services (CNAE 55)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	250 or more	52,79
3.3. Accommodation services (CNAE 55)	I.3 % enterprises with specific training in Big Data (1)	Total	8,39
3.3. Accommodation services (CNAE 55)	I.3 % enterprises with specific training in Big Data (1)	From 10 to 49	8,61
3.3. Accommodation services (CNAE 55)	I.3 % enterprises with specific training in Big Data (1)	From 50 to 249	5,94
3.3. Accommodation services (CNAE 55)	I.3 % enterprises with specific training in Big Data (1)	250 or more	17,38
3.3. Accommodation services (CNAE 55)	I.4 % enterprises with Big Data training provided by external providers (1)	Total	7,61
3.3. Accommodation services (CNAE 55)	I.4 % enterprises with Big Data training provided by external providers (1)	From 10 to 49	8,61
3.3. Accommodation services (CNAE 55)	I.4 % enterprises with Big Data training provided by external providers (1)	From 50 to 249	3,18
3.3. Accommodation services (CNAE 55)	I.4 % enterprises with Big Data training provided by external providers (1)	250 or more	17,38
3.4. Information and communications (CNAE 58-63)	I.1 % of enterprises that analyzed Big Data	Total	30,16
3.4. Information and communications (CNAE 58-63)	I.1 % of enterprises that analyzed Big Data	From 10 to 49	26,18
3.4. Information and communications (CNAE 58-63)	I.1 % of enterprises that analyzed Big Data	From 50 to 249	38,82
3.4. Information and communications (CNAE 58-63)	I.1 % of enterprises that analyzed Big Data	250 or more	60,63
3.4. Information and communications (CNAE 58-63)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	Total	39,44
3.4. Information and communications (CNAE 58-63)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 10 to 49	36,59
3.4. Information and communications (CNAE 58-63)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 50 to 249	45,1
3.4. Information and communications (CNAE 58-63)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	250 or more	45,08
3.4. Information and communications (CNAE 58-63)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	Total	42,81
3.4. Information and communications (CNAE 58-63)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 10 to 49	44,51
3.4. Information and communications (CNAE 58-63)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 50 to 249	36,72
3.4. Information and communications (CNAE 58-63)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	250 or more	46,46
3.4. Information and communications (CNAE 58-63)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	Total	53,6
3.4. Information and communications (CNAE 58-63)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 10 to 49	51,76
3.4. Information and communications (CNAE 58-63)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 50 to 249	56,09
3.4. Information and communications (CNAE 58-63)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	250 or more	60,15
3.4. Information and communications (CNAE 58-63)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	Total	53,16
3.4. Information and communications (CNAE 58-63)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 10 to 49	50,5
3.4. Information and communications (CNAE 58-63)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 50 to 249	55,1
3.4. Information and communications (CNAE 58-63)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	250 or more	66,91
3.4. Information and communications (CNAE 58-63)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	Total	92,51
3.4. Information and communications (CNAE 58-63)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 10 to 49	91,1
3.4. Information and communications (CNAE 58-63)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 50 to 249	94,76
3.4. Information and communications (CNAE 58-63)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	250 or more	96,66
3.4. Information and communications (CNAE 58-63)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	Total	25,8
3.4. Information and communications (CNAE 58-63)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 10 to 49	22,04
3.4. Information and communications (CNAE 58-63)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 50 to 249	33,42
3.4. Information and communications (CNAE 58-63)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	250 or more	32,77
3.4. Information and communications (CNAE 58-63)	I.3 % enterprises with specific training in Big Data (1)	Total	50,1
3.4. Information and communications (CNAE 58-63)	I.3 % enterprises with specific training in Big Data (1)	From 10 to 49	45,27
3.4. Information and communications (CNAE 58-63)	I.3 % enterprises with specific training in Big Data (1)	From 50 to 249	54,22
3.4. Information and communications (CNAE 58-63)	I.3 % enterprises with specific training in Big Data (1)	250 or more	73,64
3.4. Information and communications (CNAE 58-63)	I.4 % enterprises with Big Data training provided by external providers (1)	Total	41,56
3.4. Information and communications (CNAE 58-63)	I.4 % enterprises with Big Data training provided by external providers (1)	From 10 to 49	41,82
3.4. Information and communications (CNAE 58-63)	I.4 % enterprises with Big Data training provided by external providers (1)	From 50 to 249	37,36
3.4. Information and communications (CNAE 58-63)	I.4 % enterprises with Big Data training provided by external providers (1)	250 or more	50,53
3.5. Real estate activities (CNAE 68)	I.1 % of enterprises that analyzed Big Data	Total	11,56
3.5. Real estate activities (CNAE 68)	I.1 % of enterprises that analyzed Big Data	From 10 to 49	10,16
3.5. Real estate activities (CNAE 68)	I.1 % of enterprises that analyzed Big Data	From 50 to 249	19,09
3.5. Real estate activities (CNAE 68)	I.1 % of enterprises that analyzed Big Data	250 or more	30,52
3.5. Real estate activities (CNAE 68)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	Total	10,72
3.5. Real estate activities (CNAE 68)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 10 to 49	10,67
3.5. Real estate activities (CNAE 68)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 50 to 249	9,9
3.5. Real estate activities (CNAE 68)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	250 or more	14,2
3.5. Real estate activities (CNAE 68)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	Total	47,19
3.5. Real estate activities (CNAE 68)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 10 to 49	52,91
3.5. Real estate activities (CNAE 68)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 50 to 249	14,32
3.5. Real estate activities (CNAE 68)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	250 or more	79,5
3.5. Real estate activities (CNAE 68)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	Total	62,29
3.5. Real estate activities (CNAE 68)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 10 to 49	60,07
3.5. Real estate activities (CNAE 68)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 50 to 249	60,72
3.5. Real estate activities (CNAE 68)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	250 or more	100
3.5. Real estate activities (CNAE 68)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	Total	43,28
3.5. Real estate activities (CNAE 68)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 10 to 49	44,38
3.5. Real estate activities (CNAE 68)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 50 to 249	38,91
3.5. Real estate activities (CNAE 68)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	250 or more	42,59
3.5. Real estate activities (CNAE 68)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	Total	71,61
3.5. Real estate activities (CNAE 68)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 10 to 49	67,87
3.5. Real estate activities (CNAE 68)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 50 to 249	79,02
3.5. Real estate activities (CNAE 68)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	250 or more	100
3.5. Real estate activities (CNAE 68)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	Total	57,59
3.5. Real estate activities (CNAE 68)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 10 to 49	65,61
3.5. Real estate activities (CNAE 68)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 50 to 249	26,83
3.5. Real estate activities (CNAE 68)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	250 or more	48,9
3.5. Real estate activities (CNAE 68)	I.3 % enterprises with specific training in Big Data (1)	Total	15,72
3.5. Real estate activities (CNAE 68)	I.3 % enterprises with specific training in Big Data (1)	From 10 to 49	14,84
3.5. Real estate activities (CNAE 68)	I.3 % enterprises with specific training in Big Data (1)	From 50 to 249	15,75
3.5. Real estate activities (CNAE 68)	I.3 % enterprises with specific training in Big Data (1)	250 or more	28,39
3.5. Real estate activities (CNAE 68)	I.4 % enterprises with Big Data training provided by external providers (1)	Total	13,9
3.5. Real estate activities (CNAE 68)	I.4 % enterprises with Big Data training provided by external providers (1)	From 10 to 49	14,84
3.5. Real estate activities (CNAE 68)	I.4 % enterprises with Big Data training provided by external providers (1)	From 50 to 249	5,85
3.5. Real estate activities (CNAE 68)	I.4 % enterprises with Big Data training provided by external providers (1)	250 or more	28,39
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	I.1 % of enterprises that analyzed Big Data	Total	14,16
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	I.1 % of enterprises that analyzed Big Data	From 10 to 49	11
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	I.1 % of enterprises that analyzed Big Data	From 50 to 249	28,85
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	I.1 % of enterprises that analyzed Big Data	250 or more	40,83
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	Total	37,3
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 10 to 49	34,51
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 50 to 249	40,18
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	250 or more	49,93
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	Total	34,22
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 10 to 49	34,46
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 50 to 249	34,96
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	250 or more	30,17
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	Total	46,35
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 10 to 49	47,24
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 50 to 249	46,02
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	250 or more	40,57
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	Total	36,27
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 10 to 49	29,53
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 50 to 249	46,02
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	250 or more	58,34
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	Total	79,94
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 10 to 49	76,58
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 50 to 249	83,49
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	250 or more	94,91
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	Total	30,24
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 10 to 49	28,5
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 50 to 249	36,77
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	250 or more	23,76
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	I.3 % enterprises with specific training in Big Data (1)	Total	30,88
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	I.3 % enterprises with specific training in Big Data (1)	From 10 to 49	18,42
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	I.3 % enterprises with specific training in Big Data (1)	From 50 to 249	51,82
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	I.3 % enterprises with specific training in Big Data (1)	250 or more	62,8
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	I.4 % enterprises with Big Data training provided by external providers (1)	Total	26,88
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	I.4 % enterprises with Big Data training provided by external providers (1)	From 10 to 49	15,86
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	I.4 % enterprises with Big Data training provided by external providers (1)	From 50 to 249	45,97
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	I.4 % enterprises with Big Data training provided by external providers (1)	250 or more	53,49
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	I.1 % of enterprises that analyzed Big Data	Total	8,61
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	I.1 % of enterprises that analyzed Big Data	From 10 to 49	6,47
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	I.1 % of enterprises that analyzed Big Data	From 50 to 249	13,7
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	I.1 % of enterprises that analyzed Big Data	250 or more	19,91
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	Total	33,31
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 10 to 49	28,97
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 50 to 249	29,59
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	250 or more	59,61
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	Total	47,55
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 10 to 49	50,42
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 50 to 249	42,94
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	250 or more	45,62
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	Total	47,29
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 10 to 49	42,85
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 50 to 249	54,35
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	250 or more	50,47
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	Total	28,37
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 10 to 49	25,81
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 50 to 249	30,31
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	250 or more	34,82
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	Total	73,07
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 10 to 49	70,56
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 50 to 249	75,19
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	250 or more	78,93
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	Total	45,06
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 10 to 49	44,68
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 50 to 249	45,95
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	250 or more	44,71
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	I.3 % enterprises with specific training in Big Data (1)	Total	19,98
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	I.3 % enterprises with specific training in Big Data (1)	From 10 to 49	17,02
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	I.3 % enterprises with specific training in Big Data (1)	From 50 to 249	17,01
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	I.3 % enterprises with specific training in Big Data (1)	250 or more	38,83
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	I.4 % enterprises with Big Data training provided by external providers (1)	Total	12,04
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	I.4 % enterprises with Big Data training provided by external providers (1)	From 10 to 49	5,24
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	I.4 % enterprises with Big Data training provided by external providers (1)	From 50 to 249	14,41
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	I.4 % enterprises with Big Data training provided by external providers (1)	250 or more	35,32
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	I.1 % of enterprises that analyzed Big Data	Total	30,02
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	I.1 % of enterprises that analyzed Big Data	From 10 to 49	26,45
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	I.1 % of enterprises that analyzed Big Data	From 50 to 249	36,93
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	I.1 % of enterprises that analyzed Big Data	250 or more	60,54
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	Total	42,31
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 10 to 49	38,27
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 50 to 249	50,43
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	250 or more	51,12
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	Total	45,07
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 10 to 49	45,86
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 50 to 249	41,98
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	250 or more	47,16
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	Total	52,96
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 10 to 49	53,85
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 50 to 249	51,18
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	250 or more	51
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	Total	49,38
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 10 to 49	45,63
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 50 to 249	54,92
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	250 or more	62,52
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	Total	91,78
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 10 to 49	90,2
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 50 to 249	94,65
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	250 or more	96
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	Total	23,66
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 10 to 49	22,26
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 50 to 249	26,57
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	250 or more	26,45
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	I.3 % enterprises with specific training in Big Data (1)	Total	53,51
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	I.3 % enterprises with specific training in Big Data (1)	From 10 to 49	47,46
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	I.3 % enterprises with specific training in Big Data (1)	From 50 to 249	62,44
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	I.3 % enterprises with specific training in Big Data (1)	250 or more	74,88
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	I.4 % enterprises with Big Data training provided by external providers (1)	Total	42,01
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	I.4 % enterprises with Big Data training provided by external providers (1)	From 10 to 49	39,45
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	I.4 % enterprises with Big Data training provided by external providers (1)	From 50 to 249	46,5
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	I.4 % enterprises with Big Data training provided by external providers (1)	250 or more	49,19