Organizational Productivity and Performance Measurements Using Predictive Modeling and Analytics
โ Scribed by Madjid Tavana, Kathryn Szabat, Kartikeya Puranam
- Publisher
- IGI Global
- Year
- 2016
- Tongue
- English
- Leaves
- 425
- Series
- Advances in Business Information Systems and Analytics
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
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 critical look at methods for enhancing an organizations 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.
โฆ Subjects
Industries;Agriculture;Automotive;Computers & Technology;Construction;Energy & Mining;Fashion & Textile;Financial Services;Hospitality, Travel & Tourism;Industrial Relations;Manufacturing;Media & Communications;Museums;Performing Arts;Pharmaceutical & Biotechnology;Restaurant & Food;Retailing;Service;Sports & Entertainment;Transportation;Business & Money;Information Management;Management & Leadership;Business & Money;Statistics;Education & Reference;Business & Money;Operations Research;Processes
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