Download - Moneyball Approach to Big Data
Moneyball Approachto Big DataCreate a competitive advantage with Big Data
Rick Kawamura@r_kawamura
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
Moneyball – The Art of Winning
3
Using a data-driven approach to outwit, outsmart, and outplay your competition with unstructured Big Data
What is Big Data?
4
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.
Big Data Evolution
5
EAI
SOA
Silos
Portals
Centralization
Vendor Consolidation
Consolidation App Explosion
Web
Globalization
SaaSMobile
Cloud
Social
B2B
Machine
Big Opportunities
6
Who is likely to reap the benefits of Big Data?
7
Finance and Insurance are well positioned
Predictive Analytics
• Is Social Media credible?
8
Strong credibility of Unstructured, Social Data
Improve Operating Margins
9
“We estimate that a retailer embracing big data has the potential to increase its operating margin by more than 60%”
- McKinsey
- IBM
Integrating internal and external apps for profit
Financial Services
10
“… 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
Regulatory Compliance, Personalized Service, Competitive Advantage
Top 10 Keys to Success starting out with Big Data
11
1. Honest evaluation of your Big Data goals and weaknesses
2. Desire to change and think different
3. The 3 Vs of Big Data are important – but it’s really about a 4th “V”, Value
4. Gain access to the data and applications you need
5. Use relevant data – internal, external, structured, unstructured
6. Data in real-time
7. Ability to turn data into intelligence
8. Actionable results
9. 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
Thank You@r_kawamura
12