Supplement 65 to ITU-T Y-series Recommendations (07/2020) ITU-T Y.3600-series – Big data adoption in developing countries
Summary
History
FOREWORD
Table of Contents
Introduction
1 Scope
2 References
     3 Definitions
     3.1 Terms defined elsewhere
     3.2 Terms defined in this Supplement
4 Abbreviations and acronyms
5 Conventions
6 Overview on big data
     6.1 Characteristics of big data
     6.2 Challenges addressed by big data
7 Introduction to the survey and to the respondents
8 Big data usage in developing countries
     8.1 Awareness regarding the need for big data usage
     8.2 Big data usage and management at organization level
     8.3 Big data usage in developing countries: A sectoral perspective
          8.3.1 Big data usage in the communications sector
          8.3.2 Big data usage in the banking sector
          8.3.3 Big data usage in the education sector
     8.4 Big Data Projects in Developing Countries
9 Big data requirements in developing countries
     9.1 General requirements
          9.1.1 Requirements related to data sources
          9.1.2 Requirements related to data transformation
          9.1.3 Requirements related to Infrastructure
          9.1.4 Requirements related to data consumption
          9.1.5 Requirements related to security and privacy
          9.1.6 Requirements related to lifecycle management
          9.1.7 Requirements related to big data skills
          9.1.8 Other requirements
     9.2 Big data standardization
          9.2.1 Overview on big data standardization activities
               9.2.1.1 ITU-T activities
               9.2.1.2 Activities of other standardization bodies
          9.2.2 Standardization requirements of developing countries
10 Opportunities of big data adoption
     10.1 Opportunities of big data adoption at the organization level
          10.1.1 More efficient operations
          10.1.2 Better decision making
          10.1.3 Improved customer experience
          10.1.4 Higher quality products and services
          10.1.5 New product innovations
          10.1.6 Increased sales
          10.1.7 Reduced risk
          10.1.8 Increase customer loyalty and reduce churn
     10.2 Big data and the United Nations Sustainable Development Goals
11 Challenges of big data adoption
     11.1 Lack of big data experts/skills
     11.2 Security and privacy
     11.3 Investment costs
     11.4 Lack of capacity building
     11.5 Resistance to change
     11.6 Lack of adequate standards
     11.7 Inadequate technological infrastructure
     11.8 Difficulties of migration
     11.9 The lack of an innovation culture
12 Recommendations for big data adoption in developing countries
     12.1 Raising awareness on big data benefits
     12.2 Skills development and capacity building
     12.3 Financial assistance
     12.4 Infrastructure considerations
     12.5 Big data national program
     12.6 Building a regulatory framework for big data
     12.7 Standards development
Appendix  Survey on big data adoption in developing countries
Bibliography