TY  - BOOK
AU  - Ustundag,Alp
AU  - Cevikcan,Emre
AU  - Beyca,Omer Faruk
ED  - SpringerLink (Online service)
TI  - Business Analytics for Professionals
T2  - Springer Series in Advanced Manufacturing,
SN  - 9783030938239
AV  - HF5548.2 
PY  - 2022///
CY  - Cham
PB  - Springer International Publishing, Imprint: Springer
KW  - Statistics 
KW  - Business logistics
KW  - Industrial engineering
KW  - Production engineering
KW  - Production management
KW  - Statistics in Business, Management, Economics, Finance, Insurance
KW  - Logistics
KW  - Industrial and Production Engineering
KW  - Production
KW  - Business -- Data processing
KW  - Big data
N1  - 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
N2  - 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 business problems concerning supply chain, marketing & CRM, financial, manufacturing and human resources functions and supplies solutions in Python
UR  - https://doi.org/10.1007/978-3-030-93823-9
ER  -