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Moneyball Approach to Big Data

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Presented to Wall Street Technology Conference on opportunities with Big Data using a practical approach to creating a competitive advantage.

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Moneyball Approach to Big Data

  1. 1. Moneyball Approachto Big DataCreate a competitive advantage with Big Data Rick Kawamura @r_kawamura
  2. 2. Agenda• Moneyball – The art of Winning• What is Big Data?• Big Data Evolution• Big Data Opportunities• Not all Big Data is alike• Big Data Examples• Top 10 Keys to Success starting out with Big Data 2
  3. 3. Moneyball – The Art of WinningUsing a data-driven approach to outwit, outsmart, and outplay your competitionwith unstructured Big Data 3
  4. 4. What is Big Data? Forrester: … techniques and technologies that make handling data at extreme scale affordable… to understand how to get value from the 95% you are not thinking about right now. (Forester estimates firms utilize less than 5% of available data). In this information age, the firms that best turn information to their advantage will dominate their competition. 4
  5. 5. Big Data Evolution Cloud Silos Mobile SaaS EAI Portals Vendor Web B2B SOA Consolidation Social Globalization Centralization Machine Consolidation App Explosion 5
  6. 6. Big Opportunities 6
  7. 7. Who is likely to reap the benefits of Big Data?Finance and Insurance are well positioned 7
  8. 8. Predictive AnalyticsStrong credibility of Unstructured, Social Data• Is Social Media credible? 8
  9. 9. Improve Operating MarginsIntegrating internal and external apps for profit “We estimate that a retailer embracing big data has the potential to increase its operating margin by more than 60%” - McKinsey - IBM 9
  10. 10. Financial ServicesRegulatory Compliance, Personalized Service, Competitive Advantage “… unlocking the insights in the data to better understand customers, competitors and employees represents a significant opportunity to gain competitive advantage. … leading firms are looking at using both internal and external data, both structured and unstructured, to develop personalized banking products.” - Deloitte 10
  11. 11. Top 10 Keys to Success starting out with Big Data1. Honest evaluation of your Big Data goals and weaknesses2. Desire to change and think different3. The 3 Vs of Big Data are important – but it’s really about a 4th “V”, Value4. Gain access to the data and applications you need5. Use relevant data – internal, external, structured, unstructured6. Data in real-time7. Ability to turn data into intelligence8. Actionable results9. Hire the right people (before investing in tools and technology)10. Beware the hungry bear – You may not be first (with Big Data), just don’t be last 11
  12. 12. Thank You@r_kawamura 12