The Data Effect: Canadian Big Data & Analytics Update - Dr. Alison Brooks Director, Public Sector Research, IDC Canada
- 1. 1 The Data Effect Canadian Big Data & Analytics Update Dr. Alison Brooks, Director Public Sector Research IDC Canada April 17, 2013
- 2. © 2012 IDC IDC’s Digital Universe Study 2
- 3. © 2012 IDC Impact of the Digital Universe on IT Average number of servers will increase by 10X by 2020 3 Information managed by enterprises will grow by 14X by 2020 The # of IT professionals is expected to grow by only 1.5x by 2020
- 4. © 2012 IDC IDC’s Digital Universe Study 4
- 5. © 2012 IDC Four Pillars and the Growing Significance of “The 3rd Platform” Mainframe Terminal LAN/Internet Client/Server
- 6. © 2012 IDC Which technology will transform your business in the next 5 years?
- 7. © 2012 IDC What Is Big Data? IDC's definition of Big Data technologies describes a new generation of technologies and architectures designed to economically extract value from very large volumes of a wide variety of data by enabling high-velocity capture, discovery, and/or analysis.
- 8. © 2012 IDC Big Data Spend by Category – $6.8B WW in 2012, 39% CAGR 3% 14% 12% 30% 41% Networking Servers Storage Software Services
- 9. © 2012 IDC Big Data – 60% • 40%+ CAGR to 2015 – reaching $17B WW according to IDC • Smaller Cdn opportunity -> under $300M by 2015 • Growth in large Finance, Telcos, Research and Public Sector IDC Definition
- 10. © 2012 IDC The Four V’s of Big Data Volume Velocity Variety Value
- 11. © 2012 IDC The four horsemen of the infopocalypse PB, EB, ZB, YB Transactions Event logs File systems Batch processing Near-real time Real time Streaming Databases Event logs Sensor acquisitions Audio, Video
- 12. © 2012 IDC Big Data Domains 1. Risk management 2. Machine to machine analytics 3. Marketing optimization 4. Data discovery 5. Network and relationship analysis 5 4 3 2 1
- 13. © 2012 IDC Drivers and Benefits
- 14. © 2012 IDC Big Data Use Cases
- 15. © 2012 IDC Big Data Vendor Landscape
- 16. © 2012 IDC Canadian enterprises and big data strategy Not sure 33% No, but we would like to 35% No, but we are in the process of creating one 18% Yes, but it is restricted to specific business opportunities 4% Yes, but it is restricted to business units 4% Yes, we have a geographic led strategy 1% Yes, we have an organizational strategy 5% 53% 14% 33%
- 17. © 2012 IDC 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% Canada Worldwide NA 5+ yrs 3 to 5 yrs 1 to 2 yrs Past 6 months Now Next 18 months ~18 months No DK/NA Timing of Big Data Initiatives Canada WW NA Very important Somewhat important, or Not important Don't know Importance of real-time data
- 18. © 2012 IDC Stages of maturity in Big Data 5 4 1 2 3 Value Effort Automation. Resources focusing on strategy are supported by automated processes. BD Scientists. The organization can consistently leverage sources of data in relevant forward-looking ways. Prediction, rather than reaction, is the norm. BD Users. Technology and culture have adjusted to the use of big data, and the organization can both recognize and utilize sources of big data to provide context and relevance to business insights. Big Data availability. The company can recognize and capture relevant, actionable data from internal and external sources, but does not yet have the infrastructure, skills, or processes to make use of it. Zero data state. No usable data in an actionable form. No metrics for internal or external business processes, and no data-driven insights into behaviour.
- 19. © 2012 IDC Big Data Technology Stack
- 20. © 2012 IDC Redefining Data Value Every extra day “in the shop” increases costs and customer angst
- 21. © 2012 IDC Redefining Data Value
- 22. © 2012 IDC Big Data: Beyond the 4 V’s “My daughter got this in the mail!” he said. “She’s still in high school, and you’re sending her coupons for baby clothes and cribs? Are you trying to encourage her to get pregnant?” “I had a talk with my daughter… there’s been some activities in my house I haven’t been completely aware of…” Business Goal? Finding the life moments that lead to switching retail preferences – and thereby increasing Lifetime Customer Value for Target over competitors like Wal-Mart
- 23. © 2012 IDChttp://arstechnica.com/information-technology/2012/11/built-to-win-deep-inside-obamas-campaign-tech/ http://gigaom.com/cloud/how-obamas-tech-team-helped-deliver-the-2012-election/ Inside the Secret World of the Data Crunchers Who Helped Obama Win Obama & the Four V’s
- 24. © 2012 IDC Obama & the Value of Big Data
- 25. © 2012 IDC Big Data Essential Questions People, Process, Technology, Data, & Funding • What new technical skills and business talent do I need to guide my big data strategy? • How should my organization change? Does big data require a new engagement model? • When and how do I orient my teams to support big data trends People • How does my development lifecycle change (data led vs. application led) • How are my financial and IT peers addressing these trends • How should I construct innovation activities around big data technology? Process • What are the true technical innovations, and what is different. • What level of technical standardization and policy do I need to help advance the development of big data initiatives across my lines of business? • How does big data impact my cloud strategies? • What are the technology risks Technology • What are the impacts on data governance policy? • What can we expect in terms of regulatory guidance? • How do I extend my information security and consumer protection architecture to address big data technologies and applications Data • How do I construct an ROI model for big data application investments • What are the right cost sharing models? • How does big data change or impact charge back strategies Funding
- 26. © 2012 IDC The network is growing in importance. Data must be analyzed, security applied, and authentication verified — all in real time and in levels yet to be seen. Prepare for the 2020 digital universe. There is no sticking your head in the sand; BD might be overhyped, but it’s not going away. BD analytics brings IT & lines of business closer together. It’s not about the technology. Focus on the business problem. Final thoughts 1 2 3