Big data MBA : driving business strategies with data science / Bill Schmarzo

Includes index.

Part 1. Business potential of big data -- 1. The big data business mandate -- 2. Big data business model maturity index -- 3. The big data strategy document -- 4.The importance of the user experience -- Part 2. Data science -- 5. Differences between business intelligence and data science -- 6. Data science 101 -- 7. The data lake -- Part 3. Data science for business stakeholders -- 8. Thinking like a data scientist -- 9. "By" analysis technique -- 10. Score development technique -- 11. Monetization exercise -- 12. Metamorphosis exercise.

Big Data MBA brings insight and expertise to leveraging big data in business so you can harness the power of analytics and gain a true business advantage. Based on a practical framework with supporting methodology and hands-on exercises, this book helps identify where and how big data can help you transform your business. You'll learn how to exploit new sources of customer, product, and operational data, coupled with advanced analytics and data science, to optimize key processes, uncover monetization opportunities, and create new sources of competitive differentiation. The discussion includes guidelines for operationalizing analytics, optimal organizational structure, and using analytic insights throughout your organization's user experience to customers and front-end employees alike. You'll learn to “think like a data scientist” as you build upon the decisions your business is trying to make, the hypotheses you need to test, and the predictions you need to produce. Business stakeholders no longer need to relinquish control of data and analytics to IT. In fact, they must champion the organization's data collection and analysis efforts. This book is a primer on the business approach to analytics, providing the practical understanding you need to convert data into opportunity. If you want data to transform your business, you need to know how to put it to use. Big Data MBA shows you how to implement big data and analytics to make better decisions.