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Course Content
Syllabus
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UNIT 1
Why Business Intelligence - The Information Asset - Exploiting Information - Business Intelligence and Program Success - What Is Business Intelligence - The Value of Business Intelligence: The Information Asset and Data Valuation - Actionable Knowledge-Return on Investment - Business Intelligence Applications - The Intelligence Dashboard - Business Intelligence Adds Value
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25UCI604 – Fundamentals of Business Intelligence
UNIT

1
Business Intelligence and Information Exploitation

Why Business Intelligence – The Information Asset – Exploiting Information – Business Intelligence and Program Success – What Is Business Intelligence – The Value of Business Intelligence: The Information Asset and Data Valuation – Actionable Knowledge-Return on Investment – Business Intelligence Applications – The Intelligence Dashboard – Business Intelligence Adds Value

UNIT

2
Planning for Success

Initiating a Program – Business/Information Technology Partnership – Business Intelligence Success Factors – Team Building – Strategic versus Tactical Planning – The Business Intelligence Environment: The Business Case – The Business Intelligence Process – System Infrastructure – Information Access, Delivery, and Analysis ᎓ Services – Management Issues

UNIT

3
Business Models and Information Flow

The Business Case – Information Processing and Information Flow – The Information Flow Model – Usage in Practice – Modeling Frameworks – Management Issues – Business Rules: The Business Case – The Business Rules Approach – What Is a Business Rule – What Is a Business Rule System – Sources of Business Rules

UNIT

4
Data Profiling

The Business Case – Data Profiling Activities – Data Model Inference – Attribute Analysis – Relationship Analysis – Data Quality and Information Compliance: The Business Case – Types of Errors – Data Cleansing – Business Rule-Based Information Compliance – Information Integration: The Business Case – ETL: Extract, Transform, Load – Enterprise Application Integration and Web Services – Record Linkage and Consolidation

UNIT

5
Data Enhancement:

The Business Case – Types of Data Enhancement – Incremental Enhancements – Batch Enhancements – Standardization ᎓ Knowledge Discovery and Data Mining: The Business Case – Data Mining and the Data Warehouse – The Virtuous Cycle – Directed versus Undirected Knowledge Discovery – Six Basic Tasks of Data Mining – Data Mining Techniques

Reference Book:

[1] Isaac Baley & Laura Veldkamp, 2025, The Data Economy: Tools and Applications, 1st Edition, Princeton University Press [2] Galit Shmueli, Peter C. Bruce, Peter Gedeck, Nitin R. Patel, 2021, Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python, 2nd Edition, John Wiley & Sons [3] Shirley Coleman, Andrea Ahlemeyer-Stubbe, 2020, A Practical Guide to Data Mining for Business and Industry, 1st Edition, Wiley

Text Book:

[1] Sharda, Delen, Turban, 2024, Business Intelligence, Analytics, Data Science and AI, 5th Edition, Pearson [2] Natarajan et al, 2024, AI-Powered Business Intelligence for Modern Organizations, 1st Edition, Business Science Reference [3] RameshᎯSharda, 2023, Business Intelligence, Analytics, Data Science, and AI, 5th Edition, Pearson

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