BITM Business Intelligence

bitmsemester 8

This course introduces the concepts, techniques, and tools used in business intelligence (BI) and data analytics. Students will learn how BI is used to transform data into insights for decision-making in organizations.

semester photo

Chapter Wise Notes Question Banks Syllabus Chapter Wise Questions Viva Practical

Unit 1:Introduction to Business Intelligence

Definition and scope of BI. Importance of BI in decision-making. Overview of BI tools and technologies.

Unit 2:Data Warehousing

Introduction to data warehousing concepts. Data warehouse architecture. ETL (Extract, Transform, Load) processes. Data modeling for BI.

Unit 3:Data Mining

Introduction to data mining concepts. Data preprocessing techniques. Classification and clustering algorithms. Association rule mining.

Unit 4:Data Visualization

Principles of data visualization. Tools and techniques for data visualization. Dashboard design and best practices.

Unit 5:BI Tools and Technologies

Overview of popular BI tools (e.g., Tableau, Power BI). Hands-on experience with BI tools for data analysis and reporting. Introduction to OLAP (Online Analytical Processing).

Unit 6:BI Implementation

Best practices for implementing BI solutions. Challenges and considerations in BI implementation. Case studies of successful BI implementations.