Big Data MBA: Driving Business Strategies with Data Science, An Indian Adaptation
ISBN: 9789363863088
348 pages
For more information write to us at: acadmktg@wiley.com
Description
Big Data MBA: Unlock the Power of Analytics to Transform Your Business
Big Data MBA is your ultimate guide to leveraging big data and advanced analytics for a competitive edge. Perfect for tech enthusiasts, marketers, content creators, technical professionals, and data experts, this comprehensive resource empowers you to harness data-driven insights and drive impactful business outcomes.
Built on a practical framework with actionable methodologies and hands-on exercises, this book shows you how to:
- Unleash the potential of big data to revolutionize your business operations.
- Explore new sources of customer, product, and operational data for deeper insights.
- Utilize advanced analytics and data science to optimize processes and identify monetization opportunities.
- Drive competitive differentiation with data-informed decision-making.
Discover step-by-step strategies for operationalizing analytics and embedding them into your organization. Learn how to structure your teams for maximum efficiency and ensure analytics enrich every user experience, from customers to frontline employees.
With Big Data MBA, you'll gain the tools to think like a data scientist—formulating the right questions, testing hypotheses, and making accurate predictions to power your business into the future.
Whether you’re seeking to optimize customer experiences, innovate product offerings, or enhance operational efficiency, this book is your roadmap to success in the data-driven world.
Part I Business Potential of Big Data
Chapter 1 The Big Data Business Mandate
Chapter 2 Big Data Business Model Maturity Index
Chapter 3 The Big Data Strategy Document
Chapter 4 The Importance of the User Experience
Part II Data Science
Chapter 5 Differences Between Business Intelligence and Data Science
Chapter 6 Data Science
Chapter 7 The Data Lake
Part III Data Science for Business Stakeholders
Chapter 8 Thinking Like a Data Scientist
Chapter 9 “By” Analysis Technique
Chapter 10 Score Development Technique
Chapter 11 Monetization Exercise
Chapter 12 Metamorphosis Exercise
Part IV Building Cross-Organizational Support
Chapter 13 Power of Envisioning
Chapter 14 Organizational Ramifications
Chapter 15 Stories
Case Study 1 Optimizing Agricultural Yield with Big Data – AgriTech Corp
Case Study 2 Revolutionizing E-Commerce Personalization – ShopMax
Appendix A Adapting Big Data Strategies for the Indian Market
Appendix B Questions
Index