Introduction to Business Analytics

Chapter 1: Specify the Question: Using Business Analytics to Address Business Questions
Chapter 2: Obtain the Data: An Introduction to Business Data Sources
Chapter 3: Analyze the Data: Basic Statistics and Tools Required in Business Analytics 
Chapter 4: Analyze the Data: Exploratory Business Analytics (Descriptive Analytics and Diagnostic Analytics)
Chapter 5: Analyze the Data: Confirmatory Business Analytics (Predictive Analytics and Prescriptive Analytics)   
Chapter 6: Report the Results: Using Data Visualization
Chapter 7: Marketing Analytics
Chapter 8: Accounting Analytics
Chapter 9: Financial Analytics
Chapter 10: Other Applications of Business Analytics
Index

About the Book:

Introduction to Business Analytics focuses on building a strong foundation in data-driven thinking and decision-making. It teaches students how to approach business problems by first identifying and framing the right questions, which is a critical step in analytics. The book then guides learners through the process of collecting and preparing relevant data, ensuring they understand how to work with real-world datasets. A key strength of the book is its emphasis on practical tools widely used in industry, such as Excel, Power BI, and Python. Students learn not just the technical aspects of these tools, but also how to apply them to analyze data, uncover patterns, and generate meaningful insights. The book also highlights the importance of interpreting results correctly, so that findings can be translated into clear, actionable business decisions.


Key Features:


1) Focuses entirely on building essential data skills using industry-standard tools like Excel and Power BI.
2) Teaches students how to look past the numbers to solve complex business problems.
3) Showcases how to transform raw data into clear, actionable visual stories.
4) Provides real-world, practical practice with live business datasets.
5) Features built-in checkpoints throughout chapters to verify learning in real time.