1 / 18

Introduction to Information Systems

Introduction to Information Systems . Third Edition. Chapter 7. Business Intelligence and Decision Making. Learning Objectives. Decision making Business intelligence Data mining Web analytics Dashboards and portals. Business Intelligence. Information for data-driven decision making

niveditha
Download Presentation

Introduction to Information Systems

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Introduction to Information Systems Third Edition Chapter 7 Business Intelligence and Decision Making

  2. Learning Objectives Decision making Business intelligence Data mining Web analytics Dashboards and portals

  3. Business Intelligence Information for data-driven decision making Includes software applications, technologies, and practices

  4. Levels of Decision Making

  5. Sources of BI

  6. Analyzing Patterns • Online analytical processing • Statistics and modeling techniques • Text mining

  7. Simulating and Forecasting

  8. Artificial Intelligence

  9. Artificial Intelligence Applications Robotics Expert systems Neural nets

  10. Web Analytics Website Social media E-commerce

  11. Analyzing Traffic • Analyzing software • Reaching goals • Ad effectiveness

  12. Dashboards

  13. Portals

  14. Mashups

  15. Human Element Although humans choose intelligence, tools, and interpretation, they have weaknesses Must consider human motives in design and implementation of information systems

  16. Summary Decision making Business intelligence Data mining Web analytics Dashboards and portals

  17. Insurance Fraud Case $125 to $175 billion lost in fraud each year Fraud detection systems rely on rules and patterns detected by analytic engines Analysts work closely with investigators to apply human judgment as they create new rules and follow data leads

  18. TV and Twitter

More Related