Business Intelligence Essentials: Mathematical Models, Decision Making, and Architectures

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Explore the fundamentals of business intelligence, including the use of mathematical models for decision-making processes, key components of BI systems, and various architectures. Understand the benefits and enabling factors of BI projects in today's data-driven landscape.

  • Business Intelligence
  • Mathematical Models
  • Decision Making
  • Architectures
  • Data Analytics

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Presentation Transcript


  1. BUSINESS INTELLIGENCE CHAPTER 1 Business Intelligence: Carlo Vercellis 1

  2. Todays Scenario: Low cost data storage technologies Availability of internet Heterogeneous data Need to convert data into information Definition of BI:- Set of mathematical models and analysis methodologies that exploit the available data to generate information and knowledge useful for complex decision making process. 2 Sudha Bhagavatheeswaran, Department of Information Technology, SIES College of Arts, Science & Commerce (Autonomous)

  3. DECISIONS Eg 1:- Retention in mobile industry Eg 2:- Logistics Planning EFFECTIVE AND TIMELY 3 Sudha Bhagavatheeswaran, Department of Information Technology, SIES College of Arts, Science & Commerce (Autonomous)

  4. Benefits of a Business Intelligence System 4 Sudha Bhagavatheeswaran, Department of Information Technology, SIES College of Arts, Science & Commerce (Autonomous)

  5. 5 Sudha Bhagavatheeswaran, Department of Information Technology, SIES College of Arts, Science & Commerce (Autonomous)

  6. The role of mathematical models 6 Sudha Bhagavatheeswaran, Department of Information Technology, SIES College of Arts, Science & Commerce (Autonomous)

  7. Business Intelligence Architectures 7 Sudha Bhagavatheeswaran, Department of Information Technology, SIES College of Arts, Science & Commerce (Autonomous)

  8. Main Components of BI System 8 Sudha Bhagavatheeswaran, Department of Information Technology, SIES College of Arts, Science & Commerce (Autonomous)

  9. Enabling factors in BI projects Technologies Analytics Human Resources 9 Sudha Bhagavatheeswaran, Department of Information Technology, SIES College of Arts, Science & Commerce (Autonomous)

  10. 10 Sudha Bhagavatheeswaran, Department of Information Technology, SIES College of Arts, Science & Commerce (Autonomous)

  11. Development of a business intelligence system 11 Sudha Bhagavatheeswaran, Department of Information Technology, SIES College of Arts, Science & Commerce (Autonomous)

  12. Ethics and Business Intelligence Usage of improper data or violation of right to privacy not to be tolerated. Guard against political and economic influence Questions:- 1. Is it right to develop an optimization model on distributing costs on an international scale in order to circumvent the tax systems of certain countries? 2. Is it legitimate to make a decision on the optimal position of the tank on a vehicle to minimise costs, which may cause serious harm to passengers in event of collision? 12 Sudha Bhagavatheeswaran, Department of Information Technology, SIES College of Arts, Science & Commerce (Autonomous)

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