IT6010 BUSINESS INTELLIGENCE SYLLABUS FOR 8TH SEM IT REGULATION 2013 - Anna University Internal marks 2018

IT6010 BUSINESS INTELLIGENCE SYLLABUS FOR 8TH SEM IT REGULATION 2013

ANNA UNIVERSITY IT SYLLABUS
 IT6010 BUSINESS INTELLIGENCE SYLLABUS
8TH SEM IT SYLLABUS
REGULATION 2013
IT6010 BUSINESS INTELLIGENCE SYLLABUS
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
 
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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