Unit I
Introduction to Business Intelligence and Business Decisions – Data Ware house and its role in BI – Creating a Corporate Data Warehouse – Data Warehousing Architecture – OLAP Vs OLTP – ETL process – Tools for Data Warehousing – Data Mining – KDD Process.

Unit II
Applications of Data Mining in Business – Data Mining Techniques for CRM – Text Mining in BI – Web Mining – Mining e-commerce data – Enterprise Information Management – Executive Information Systems.

.Unit III
Business Intelligence – Function, Process, Services and Tools – Application in Different Domains – Operational BI – Customizing BI – Managing BI Projects Vs Traditional Information System Projects – Best Practices in BI Strategy.

Unit IV
Knowledge Management: Definition – Data Vs. Information Vs. Knowledge – The Ten Key Principles of KM – Knowledge Management Architecture – Knowledge Management Vs. Knowledge Processing – KM Approaches – KM Tools – KM Infrastructure – KM Models – KM Strategies.

Unit V
Web Analytics and Business Intelligence – eCRM – Case Study: Web Trends – Boeing – EverBank – China Eastern.

Text Book:
" Business Intelligence in the Digital Economy – Opportunities, Limitations and Risks" - M. Raisinghani - Idea Group Publications - 2004.

References Books:
1. " Introduction to Data Mining and Its Applications" - Sumathy & Sivanandam - Springer Verlag - 2006.

2. "Knowledge Management and Business Innovation" Yogesh Malhotra - Idea Group - 2001.