Big Data MBA - Driving Business Strategies with Data Science (Paperback)


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 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. * 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.

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Product Description

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 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. * 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.

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Product Details

General

Imprint

John Wiley & Sons

Country of origin

United States

Release date

February 2016

Availability

Expected to ship within 12 - 17 working days

First published

2016

Authors

Dimensions

235 x 188 x 20mm (L x W x T)

Format

Paperback

Pages

320

ISBN-13

978-1-119-18111-8

Barcode

9781119181118

Categories

LSN

1-119-18111-9



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