Business Analytics, Volume I : A Data-Driven Decision Making Approach for Business
Language: English
Published by Business Expert Press, 2018
- Hardcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 37.97
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Add to basketItem description from seller
nach der Bestellung gedruckt Neuware - Printed after ordering - Business Analytics: A Data-Driven Decision Making Approach for Business-Part I, /i> provides an overview of business analytics (BA), business intelligence (BI), and the role and importance of these in the modern business decision-making.The book discusses all these areas along with three main analytics categories: (1) descriptive, (2) predictive, and (3) prescriptive analytics with their tools and applications in business. This volume focuses on descriptive analytics that involves the use of descriptive and visual or graphical methods, numerical methods, as well as data analysis tools, big data applications, and the use of data dashboards to understand business performance.The highlights of this volume are: Business analytics at a glance; Business intelligence (BI), data analytics; Data, data types, descriptive analytics; Data visualization tools; Data visualization with big data; Descriptive analytics-numerical methods; Case analysis with computer applications. …
Seller Inventory # 9781637423264
- Title
- Business Analytics, Volume I : A Data-Driven Decision Making Approach for Business
- Author
- Amar Sahay
- Publisher
- Business Expert Press
- Publication year
- 2018
- Condition
- Neu
- Binding
- Buch
- Language
- English
- ISBN 10
- 1637423268
- ISBN 13
- 9781637423264
- Item weight
- 328 grams
- Dimensions
- 235x157x11 mm
The book discusses all these areas along with three main analytics categories: (1) descriptive, (2) predictive, and (3) prescriptive analytics with their tools and applications in business. This volume focuses on descriptive analytics that involves the use of descriptive and visual or graphical methods, numerical methods, as well as data analysis tools, big data applications, and the use of data dashboards to understand business performance.
The highlights of this volume are: Business analytics at a glance; Business intelligence (BI), data analytics; Data, data types, descriptive analytics; Data visualization tools; Data visualization with big data; Descriptive analytics-numerical methods; Case analysis with computer applications.
"Synopsis" may belong to another edition of this title.
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