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Business Analytics for Professionals

This book explains concepts and techniques for business analytics and demonstrate them on real life applications for managers and practitioners. It illustrates how machine learning and optimization techniques can be used to implement intelligent business automation systems. The book examines busines...

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Bibliographic Details
Other Authors: Ustundag, Alp (Editor), Cevikcan, Emre (Editor), Beyca, Omer Faruk (Editor)
Format: eBook
Language:English
Published: Cham Springer International Publishing 2022, 2022
Edition:1st ed. 2022
Series:Springer Series in Advanced Manufacturing
Subjects:
Business Logistics
Production Management
Industrial Engineering
Production
Statistics 
Statistics In Business, Management, Economics, Finance, Insurance
Industrial And Production Engineering
Logistics
Production Engineering
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • PART I: TBA
  • Chapter 1. Business Analytics for Managers
  • Chapter 2. Big Data Management and Technologies
  • Chapter 3. Descriptive Analytics: Feature Engineering & Data Visualization
  • Chapter 4. Predictive Analytics with Machine Learning
  • Chapter 5. Neural Networks and Deep Learning
  • Chapter 6. Handling Unstructured Data: Text Analytics and Image Analysis
  • Chapter 7. Prescriptive Analytics: Optimization and Modelling
  • PART II: TBA
  • Chapter 8. Supply Chain Analytics
  • Chapter 9. CRM & Marketing Analytics
  • Chapter 10. Financial Analytics
  • Chapter 11. Human Resources Analytics
  • Chapter 12. Manufacturing Analytics

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