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Data and BI / Analytics

Data and BI / Analytics. DSC340 Mike Pangburn. Organizations are drowning in data…. … but lacking in information / knowledge Our ability to collect and store data seems to have surpassed our ability to make sense of it! Important trends: Storage capacity continues to rise rapidly

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Data and BI / Analytics

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  1. Data and BI / Analytics DSC340 Mike Pangburn

  2. Organizations are drowning in data… • … but lacking in information / knowledge • Our ability to collect and store data seems to have surpassed our ability to make sense of it! • Important trends: • Storage capacity continues to rise rapidly • Cost of storage continues to drop Credit Histories Purchase Data Web Click Streams Activity Records ERP Transactions Customer Profiles Location Tracking (GPS)

  3. What is Business Intelligence? A Simple Definition: The applications and technologies transforming Business Data into Action Fact-based decision making typically involves a subset of the following skills/tools… • Data querying / SQL • Database design / data warehousing • Data mining • Decision support systems / simulations • Data visualization / Dashboards

  4. The BI goal BI is about using data to help enterprise users make better business decisions

  5. BI / analytics in all industries • A few examples • Pro Sports • Oakland A’s, New England Patriots – recruiting players • Dallas Cowboys – merchandising • Gambling • Harrah’s  Caesar’s • Quote from Intel manager: • “In God we trust, all others bring data” • Demming

  6. Managers value analytics (survey)

  7. A sample of Oracle BI Customers Consumer Goods High Tech Communications Automotive Finance / Banking Other Media / Energy Aero / Industrial Insurance / Health Life Sciences

  8. 1. Commodity Price Increase (10%) 1. IT Integration (5%) 1. IP (2%) 1. Collaboration & BI (10%) 1. Power Shift (8%) 1. Global Competition (10%) 1. SC Fragmentation (31%) 1. Lack of Global Project Resources (12%) 1. Regulatory Compliance (7%) 1. Developing SCM Talent (7%) Exec survey: What Keeps You Up at Night? BI Very High (5) Severity Low (1) Low (1) Very High (5) Probability / Frequency of Occurrence

  9. Data/ information/ knowledge • Data– a collection of raw value elements or facts used for calculating, reasoning, or measuring. • Information– the result of collecting and organizing data in a way that establishes relationship between data items, which thereby provides context and meaning • Knowledge– the concept of understanding information based on recognized patterns in a way that provides insight to information.

  10. Famous “Beer and Diapers” BI example • Consider the follow convenience-store transactional data (register sales receipts)

  11. Famous “Beer and Diapers” BI example • What did managers learn? That beer & diapers are often bought by men on Thursday and Saturdays. Why? • Data  Information  Knowledge (Insight)

  12. Knowledge Info Increasing Value Data Goal: Convert Data to (Actionable) Knowledge Hard to do in practice – requires commitment/effort.

  13. Consider the 4 posted analytics articles • Company examples: • Target • Harrah’s • Match.com • Dallas Cowboys • What do these companies have in common? • What does this mean to your career?

  14. Compare these examples

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