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Big Data And Business Analytics

Publisher:
Taylor & Francis India
| Author:
Liebowitz. Jay
| Language:
English
| Format:
Paperback
Publisher:
Taylor & Francis India
Author:
Liebowitz. Jay
Language:
English
Format:
Paperback

Original price was: ₹1,795.Current price is: ₹1,525.

Save: 15%

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Genre

Academics

ISBN:
SKU 9781498774796 Category
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Page Extent:
304

Enterprise Analytics and Business Intelligence, Starbucks Coffee CompanyWith the growing barrage of “big data,” it becomes vitally important for organizations to make sense of this data and information in a timely and effective way. That’s where analytics come into play. Research shows that organizations that use business analytics to guide their decision making are more productive and experience higher returns on equity. Big Data and Business Analytics helps you quickly grasp the trends and techniques of big data and business analytics to make your organization more competitive.Packed with case studies, this book assembles insights from some of the leading experts and organizations worldwide. Spanning industry, government, not-for-profit organizations, and academia, they share valuable perspectives on big data domains such as cybersecurity, marketing, emergency management, healthcare, finance, and transportation. Understand the trends, potential, and challenges associated with big data and business analytics Get an overview of machine learning, advanced statistical techniques, and other predictive analytics that can help you solve big data issues Learn from VPs of Big Data/Insights & Analytics via case studies of Fortune 100 companies, government agencies, universities, and not-for-profits Big data problems are complex. This book shows you how to go from being data-rich to insight-rich, improving your decision making and creating competitive advantage.Author Jay Liebowitz recently had an article published in The World Financial Review.

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Description

Enterprise Analytics and Business Intelligence, Starbucks Coffee CompanyWith the growing barrage of “big data,” it becomes vitally important for organizations to make sense of this data and information in a timely and effective way. That’s where analytics come into play. Research shows that organizations that use business analytics to guide their decision making are more productive and experience higher returns on equity. Big Data and Business Analytics helps you quickly grasp the trends and techniques of big data and business analytics to make your organization more competitive.Packed with case studies, this book assembles insights from some of the leading experts and organizations worldwide. Spanning industry, government, not-for-profit organizations, and academia, they share valuable perspectives on big data domains such as cybersecurity, marketing, emergency management, healthcare, finance, and transportation. Understand the trends, potential, and challenges associated with big data and business analytics Get an overview of machine learning, advanced statistical techniques, and other predictive analytics that can help you solve big data issues Learn from VPs of Big Data/Insights & Analytics via case studies of Fortune 100 companies, government agencies, universities, and not-for-profits Big data problems are complex. This book shows you how to go from being data-rich to insight-rich, improving your decision making and creating competitive advantage.Author Jay Liebowitz recently had an article published in The World Financial Review.

About Author

Dr. Jay Liebowitz is the Orkand Endowed Chair of Management and Technology, the only endowed chair at the University of Maryland University College. He previously served as a full professor in the Carey Business School at Johns Hopkins University. He was ranked one of the top 10 knowledge management (KM) researchers/practitioners out of 11,000 worldwide and was ranked number two worldwide in KM strategy according to the January 2010 Journal of Knowledge Management. He is a prolific author, Fulbright Scholar, Computer Educator of the Year (IACIS), IEEE Executive Fellow, and the founder and editor-in-chief of Expert Systems with Applications: An International Journal.

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