Description

Book Synopsis

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.



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.

Business Analytics for Professionals

    Product form

    A Hardback by Alp Ustundag, Emre Cevikcan, Omer Faruk Beyca

    £77.89

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    Order before 4pm today for delivery by Wed 9 Sep 2026.

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      Book details

      Publisher Springer Nature Switzerland AG
      Published 10 May 2022
      ISBN-13 9783030938222
      978-3030938222
      ISBN-10 3030938220
      Also in:
      Distribution and logistics management Production and quality control management Mathematics Probability and statistics

      Description

      Book Synopsis

      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.



      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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