Foundations of BI & Decision Support
Business Intelligence and Analytics - Evolution and Drivers - Decision Making and Computerized Support - Data Warehousing Fundamentals - Data Marts and Analytical Data - Data Warehousing Architecture - Data Integration, ETL, and Data Quality
Business Reporting, Visual Analytics, and Dashboards - On-line Analytical Processing (OLAP) - OLAP Architectures: ROLAP, MOLAP, HOLAP - BI Platforms and User Interfaces
Business Analytics and Implementation
Descriptive Statistics and Visualization - Predictive Analytics Fundamentals - Prescriptive Analytics and Optimization - Analytics for Social Media and Text
Business Analytics Applications in CRM - Business Analytics Applications in ERP and SCM - Emerging Analytics and Big Data Systems
Implementation & Future Trends
Implementing BI and Analytics Projects - Security, Privacy, and Ethical Considerations - The Future of BI, Analytics, and AI
Reference Book:
1. Cindi Howson. Successful Business Intelligence: Unlock the Value of BI & Big Data. 2nd
Edition. McGraw-Hill, 2013
2. Ralph Kimball and Margy Ross. The Data Warehouse Toolkit: The Definitive Guide to
Dimensional Modeling. 3rd Edition. Wiley, 2013
3.Larissa T. Moss and Shaku Atre. Business Intelligence Roadmap: The Complete Project
Lifecycle for Decision-Support Applications. Addison-Wesley, 2003.
4.Michael G. Solomon and Craig S. Mullins. Data Warehousing and Business Intelligence for
e-Commerce. Morgan Kaufmann, 2001.
5.Erik Thomsen. OLAP Solutions: Building Multidimensional Information Systems. 2nd
Edition. Wiley, 2002.
Text Book:
1. Ramesh Sharda, Dursun Delen, and Efraim Turban. Business Intelligence and Analytics:
Systems for Decision Support. 10th Edition. Pearson, 2019.
2. David Loshin. Business Intelligence: The Savvy Manager's Guide. 2nd Edition. Morgan
Kaufmann, 2012.
