IT6010 BUSINESS INTELLIGENCE|Syllabus

IT6010 BUSINESS INTELLIGENCE L T P C3 0 0 3

 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

UNIT I                               BUSINESS INTELLIGENCE                                                        (9)
 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                                                             (9)
 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                                                                    (9)
 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                             (9)
 Marketing models – Logistic and Production models – Case studies.

UNIT V                           FUTURE OF BUSINESS INTELLIGENCE                                     (9)
 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
TEXT BOOK:
1. Efraim Turban, Ramesh Sharda, Dursun Delen, “Decision Support and Business Intelligence Systems”, 9th 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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