ANNA UNIVERSITY IT SYLLABUS
IT6010 BUSINESS INTELLIGENCE SYLLABUS
8TH SEM IT SYLLABUS
REGULATION 2013
 |
| IT6010 BUSINESS INTELLIGENCE SYLLABUS |
OBJECTIVES:
The student should be made to:
-> Be exposed with the basic rudiments of business intelligence system
-> understand the modeling aspects behind Business Intelligence
-> understand of the business intelligence life cycle and the techniques used in it
-> Be exposed with different data analysis tools and techniques
The student should be made to:
-> Be exposed with the basic rudiments of business intelligence system
-> understand the modeling aspects behind Business Intelligence
-> understand of the business intelligence life cycle and the techniques used in it
-> Be exposed with different data analysis tools and techniques
UNIT I BUSINESS INTELLIGENCE
Effective and timely decisions – Data, information and knowledge – Role of mathematical models – Business intelligence architectures: Cycle of a business intelligence analysis – Enabling factors in business intelligence projects – Development of a business intelligence system – Ethics and business intelligence.
UNIT II KNOWLEDGE DELIVERY
The business intelligence user types, Standard reports, Interactive Analysis and Ad Hoc Querying, Parameterized Reports and Self-Service Reporting, dimensional analysis, Alerts/Notifications, Visualization: Charts, Graphs, Widgets, Scorecards and Dashboards, Geographic Visualization, Integrated Analytics, Considerations: Optimizing the Presentation for the Right Message.
UNIT III EFFICIENCY
Efficiency measures – The CCR model: Definition of target objectives- Peer groups – Identification of good operating practices; cross efficiency analysis – virtual inputs and outputs – Other models. Pattern matching – cluster analysis, outlier analysis
UNIT IV BUSINESS INTELLIGENCE APPLICATIONS
Marketing models – Logistic and Production models – Case studies.
UNIT V FUTURE OF BUSINESS INTELLIGENCE
Future of business intelligence – Emerging Technologies, Machine Learning, Predicting the Future, BI Search & Text Analytics – Advanced Visualization – Rich Report, Future beyond Technology.
TOTAL: 45 PERIODS
OUTCOMES:
At the end of the course the students will be able to
-> Explain the fundamentals of business intelligence.
-> Link data mining with business intelligence.
-> Apply various modeling techniques.
-> Explain the data analysis and knowledge delivery stages.
-> Apply business intelligence methods to various situations.
-> Decide on appropriate technique.
TEXT BOOK:
1. Efraim Turban, Ramesh Sharda, Dursun Delen, “Decision Support and Business Intelligence
Systems”, 9 th Edition, Pearson 2013.
REFERENCES:2. Larissa T. Moss, S. Atre, “Business Intelligence Roadmap: The Complete Project Lifecycle of Decision Making”, Addison Wesley, 2003.
3. Carlo Vercellis, “Business Intelligence: Data Mining and Optimization for Decision Making”, Wiley Publications, 2009.
4. David Loshin Morgan, Kaufman, “Business Intelligence: The Savvy Manager‟s Guide”, Second Edition, 2012.
5. Cindi Howson, “Successful Business Intelligence: Secrets to Making BI a Killer App”, McGraw- Hill, 2007.
6. Ralph Kimball , Margy Ross , Warren Thornthwaite, Joy Mundy, Bob Becker, “The Data Warehouse Lifecycle Toolkit”, Wiley Publication Inc.,2007
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