How are African Companies Deriving Value from Big Data'Big Data solutions are emerging across Africa, driven by increased connectivity and Internet usage, the rapid proliferation of connected devices and the continued investment in Africa-specific innovations. However, the threat of data overload continues to challenge potential adoption as businesses are still struggling to pinpoint how best to monetise these solutions. Some of the key challenges include a lack of reliable data sources, concerns about data security and individual privacy and a lack of specific Big Data-related skills. This study presents the current status of Big Data solutions across Africa, illustrates the core value chain, identifies key participant groups, and highlights industry-specific case studies and trends.Key Findings - The Big Data value chain consists of data collection, data management, data processing, and end-user applications. - Thus far in Africa, the focus has been on data collection and data management, which together form the enabling platform for Big Data solutions. - Technology advancements are being witnessed at each stage of the Big Data value chain, notably in terms of the proliferation of sensors and other connected devices. The ease of adoption of various analytics platforms is also contributing to the emergence of Big Data solutions. - The absence of the appropriate infrastructure, the lack of relevant skills and knowledge, and problems arising from the integration of various disparate systems, are the key challenges in the market. - Other challenges stem from the lack of market education, the difficulties associated with quantifying the benefits of additional information, and the lack of standardisation of Big Data services. - For most companies, the starting point for an integrated Big Data solution is a complete map of all possible data sources. - The benefits accrued from Big Data solutions arise either from improved operational efficiencies or new business opportunities. - Operational enhancements include reduced storage costs, predictive maintenance, enhanced communication, self-regulating systems, faster response times, improved utilisation of resources, and increased customer intelligence. - New business opportunities are usually industry-specific and examples are evident in a range of industries and locations across Africa. - Telecommunications providers will play an increasingly important role in the provision of Big Data solutions; industry-specific solutions will also emerge over the next few years.

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Big Data Outlook in Africa
Published on May 2014
Report Summary
How are African Companies Deriving Value from Big Data'
Big Data solutions are emerging across Africa, driven by increased connectivity and Internet usage, the rapid proliferation of
connected devices and the continued investment in Africa-specific innovations. However, the threat of data overload continues to
challenge potential adoption as businesses are still struggling to pinpoint how best to monetise these solutions. Some of the key
challenges include a lack of reliable data sources, concerns about data security and individual privacy and a lack of specific Big
Data-related skills. This study presents the current status of Big Data solutions across Africa, illustrates the core value chain, identifies
key participant groups, and highlights industry-specific case studies and trends.
Key Findings
- The Big Data value chain consists of data collection, data management, data processing,
and end-user applications.
- Thus far in Africa, the focus has been on data collection and data management, which
together form the enabling platform for Big Data solutions.
- Technology advancements are being witnessed at each stage of the Big Data value
chain, notably in terms of the proliferation of sensors and other connected devices. The
ease of adoption of various analytics platforms is also contributing to the emergence of
Big Data solutions.
- The absence of the appropriate infrastructure, the lack of relevant skills and knowledge,
and problems arising from the integration of various disparate systems, are the key
challenges in the market.
- Other challenges stem from the lack of market education, the difficulties associated with
quantifying the benefits of additional information, and the lack of standardisation of Big
Data services.
- For most companies, the starting point for an integrated Big Data solution is a complete
map of all possible data sources.
- The benefits accrued from Big Data solutions arise either from improved operational
efficiencies or new business opportunities.
- Operational enhancements include reduced storage costs, predictive maintenance,
enhanced communication, self-regulating systems, faster response times, improved
utilisation of resources, and increased customer intelligence.
- New business opportunities are usually industry-specific and examples are evident in a
range of industries and locations across Africa.
- Telecommunications providers will play an increasingly important role in the provision of
Big Data solutions; industry-specific solutions will also emerge over the next few years.
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Table of Content
1. EXECUTIVE SUMMARY
Key Findings
2. WHAT IS BIG DATA'
What is Big Data'
Structured Data
Characteristics of Big Data
Additional Characteristics of Big Data
The Big Data Value Chain
What Happens to Data'
3. WHY HAS BIG DATA EMERGED'
Why has Big Data Emerged'
Big Data as One of the Three Major ICT Trends
Technological Drivers of Big Data Growth
The Growth of Digital Data
4. INDUSTRY CHALLENGES
Industry Challenges
Big Data Solutions Market'Industry Challenges
Industry Challenges Explained
5. DRIVERS AND RESTRAINTS
Drivers and Restraints
Big Data Solutions Market'Market Drivers
Market Drivers Explained
Big Data Solutions Market'Market Restraints
Market Restraints Explained
6. WHAT VALUE CAN COMPANIES OBTAIN FROM BIG DATA SOLUTIONS'
What Value can Companies Obtain from Big Data Solutions'
Corporate Considerations
Sources of Data for Companies
Potential Benefits of Big Data Solutions
Explanation of Operational Benefits
Global Overview of Big Data Solutions
7. HOW ARE COMPANIES USING BIG DATA SOLUTIONS'
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How are Companies Using Big Data Solutions'
Industry Outlook: Resource Industries
Industry Outlook: Telecommunications
Industry Outlook: Healthcare
Industry Outlook: Retail
Industry Outlook: Public Sector
Industry Outlook: Banking and Financial Services and Insurance
8. THE OUTLOOK FOR BIG DATA SOLUTIONS
The Outlook for Big Data Solutions
Key Questions for Companies to Consider
The Square Kilometre Array (SKA) Project
What Will the Future Look Like'
9. CONCLUSIONS
Conclusions
The Last Word'3 Big Predictions
Legal Disclaimer
10. APPENDIX
Appendix
Research Acronyms
11. THE FROST & SULLIVAN STORY
The Frost & Sullivan Story
Value Proposition: Future of Your Company & Career
Global Perspective
Industry Convergence
360º Research Perspective
Implementation Excellence
Our Blue Ocean Strategy
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