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