文件名称:
Big.Data.MBA.Driving.Business.Strategies.with.Data.Science.11191811
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文件大小: 8mb
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上传时间: 2015-12-23
详细说明： Integrate big data into business to drive competitive advantage and sustainable success 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 d ata 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. Understand where and how to leverage big data Integrate analytics into everyday operations Structure your organization to drive analytic insights Optimize processes, uncover opportunities, and stand out from the rest Help business stakeholders to “think like a data scientist” Understand appropriate business application of different analytic techniques 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. Table of Contents 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 101 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 ...展开收缩
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