New Table of Contents

**New content indicated with italics.

Chapter 1 – Business Analytics Overview

Chapter 2 – Spreadsheet and Programming Tools for Business Analytics

Chapter 3 – Unstructured Data and NoSQL
      Added a new section on MongoDB

Chapter 4 – Structured Data and SQL

Chapter 5 – Data Mining with Cluster Analysis 

Chapter 6 – A/B Testing Essential Business Factors

Chapter 7 – Machine Learning and Deep Learning
      Added a new section on Chat GPT & Other AI Chatbots

Chapter 8 – Cloud Services

Chapter 9 – Web Analytics (Updated to reflect Google Analytics 4 change)

Chapter 10 – Analytics for the Internet of Things

Chapter 11 – Storytelling through Visualization 

Chapter 12 – Predictive Analytics with Regression
      2 mini case studies added

Chapter 13 – Prescriptive Analytics with Optimization
      2 case vignettes added

New Chapters Added in the 2023 Update
Chapter 14 – Accounting and Finance Analytics
      2 case vignettes
Learning Outcomes

• Define accounting analytics.

• Understand various accounting types.

• Calculate accounting analytics metrics.

• Describe accounting analytics software options.

• Define finance analytics.

• Discuss financial analysis methods.

• Describe finance analytics software options.

• Apply accounting and finance analytics to cases.

Chapter 15 – Marketing and Sales Analytics
      3 case vignettes
Learning Outcomes

• Learning Outcomes

• Define marketing and sales analytics.

• Explain key metrics for marketing and sales analytics.

• Discuss key marketing and sales analytics tools.

• Apply marketing and sales analytics concepts to cases.

Chapter 16 – Operations and Supply Chain Analytics
      4 case vignettes
Learning Outcomes

• Define operations and supply chain analytics.

• Explain the importance of operations and supply chain analytics.

• Provide context through the history of operations and supply chain analytics.

• Identify challenges for operations and supply chain analytics.

• Foresee the future of operations and supply chain analytics.

• Implement operations and supply chain analytics.

• Discuss key operations and supply chain analytics tools.

• Apply operations and supply chain analytics concepts to cases.

Chapter 17 – People Analytics
      3 case vignettes
Learning Outcomes

• Define people analytics.

• Understand common uses for people analytics.

• Measure people analytics with concrete metrics.

• Explain relationship analytics which builds on people analytics.
• Apply people analytics concepts to cases.

**Content Subject to Change**