Big data MBA : driving business strategies with data science

Table of Contents: Part I: 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 II: Data science. 5.Differences between business intelligence and data science 6.Data science 101 7.The data lake Part III: 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 13.Building cross-organizational support 14.Power of envisioning 15.Organizational ramifications 16.Stories

This book is a comprehensive guide to leveraging big data and analytics to drive competitive advantage and sustainable success. It explains how to use 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. It includes guidelines for operationalizing analytics, optimal organizational structure, and using analytic insights throughout the user experience. It also provides advice for helping business stakeholders "think like a data scientist" and use the data to make better decisions.