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Business Intelligence & Exam 1 Review

Business Intelligence & Exam 1 Review. Business Intelligence (BI). INPUT: Acxiom Corporation collects 300 million individual demographic records . OUTPUT: Who is going to default on a loan. Q: How do you process this input to output?. Business Intelligence (BI).

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Business Intelligence & Exam 1 Review

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  1. Business Intelligence &Exam 1 Review

  2. Business Intelligence (BI) • INPUT: Acxiom Corporation collects 300 million individual demographic records. • OUTPUT: Who is going to default on a loan. • Q: How do you process this input to output?

  3. Business Intelligence (BI) • INPUT: Disney crowd estimates for 4 parks and 365 days of data. • OUTPUT: Best time to visit, best sequence of parks to visit. • Q: How do you process this input to output?

  4. Business Intelligence (BI) System • BI Systems use information technology (hardware, software, but even algorithms) to find patterns, relationships, and trends. • Data  (MIS)  Information • Information  (DSS) Good Decisions • Information  (BI systems) Knowledge

  5. BI Systems includes • Reporting Tools • Examples: Pivot Charts & Online Analytical Processing • Data Mining Algorithms • Examples:AprioriAlgorithm for finding association rules • Knowledge Management Tools • Examples: IBM’s email knowledge bank

  6. Recall • TPS – Transaction Processing Systems • PCS – Process Control Systems • MIS – Management Information Systems • DSS – Decision Support Systems • EIS – Executive Information Systems • ECS – Enterprise Collaboration Systems

  7. Background People/Machines  (TPS)  Data People/Machines  (PCS)  Data & Routine Decisions Data  (MIS)  Info. & Routine Decisions Information  (DSS) Complex Decisions Information  (BI) Knowledge Information  (EIS)  Strategic Decisions Data & Info  (ECS)  Data & Info.

  8. The Big Problem • Old problem: Too much data • figured out some solutions • New problem: Too much information • Moving from info. to knowledge is a bigger problem • Where humans are still needed

  9. What we will learning soon • Pivot Chart Lab & Logic • We will learn how to make accurate predictions (knowledge) given raw data about behavior • Excel will be our tool • Market Basket Lab • We will find the strongest product associations (knowledge) given millions of possibilities (raw data) • Access with be our tool • Large companies pay $millions for sophisticate tools to do these things

  10. What we have done (review part) • Intro Lab • Getting to know the procedures • CMCC Lab • Word is just a document maker • Google Docs is more of an Information System • GIS Lab • First DSS example • Data  Information • Tables  Maps  Reports • Excel Lab • More than just an accounting calculator • A tool for automation and information processing • Searching (vlookup) and logic (if statements)

  11. Things to study • Reading is listed on the schedule • Review the lab

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