Organizational Productivity and Performance Measurements Using Predictive Modeling and Analytics |
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Editor:
| Tavana, Madjid Szabat, Kathryn Puranam, Kartikeya |
Series title: | Advances in Business Information Systems and Analytics Ser. |
ISBN: | 978-1-5225-0656-0 |
Publication Date: | Sep 2016 |
Publisher: | IGI Global
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Imprint: | Business Science Reference |
Book Format: | Digital download and online |
List Price: | USD $205.00 |
Book Description:
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Businesses are collecting massive amounts of data every day as a way to better understand their processes, competition, and the markets they serve. This data can be used to increase organizational productivity and performance; however, is essential that organizations collecting large data sets have the tools available to them to fully understand the data they are collecting. Organizational Productivity and Performance Measurements Using Predictive Modeling and Analytics takes a...
More DescriptionBusinesses are collecting massive amounts of data every day as a way to better understand their processes, competition, and the markets they serve. This data can be used to increase organizational productivity and performance; however, is essential that organizations collecting large data sets have the tools available to them to fully understand the data they are collecting. Organizational Productivity and Performance Measurements Using Predictive Modeling and Analytics takes a critical look at methods for enhancing an organizationâe(tm)s operations and day-to-day activities through the effective use of data. Focusing on a variety of applications of predictive analytics within organizations of all types, this critical publication is an essential resource for business managers, data scientists, graduate-level students, and researchers.