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Business Intelligence (BI)

Business Intelligence (BI). By: Tom Markley. Overview. What is Business Intelligence? When did Business Intelligence begin? How is Business Intelligence used today? Where is Business Intelligence headed?. What is Business Intelligence?.

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Business Intelligence (BI)

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  1. Business Intelligence(BI) By: Tom Markley

  2. Overview • What is Business Intelligence? • When did Business Intelligence begin? • How is Business Intelligence used today? • Where is Business Intelligence headed?

  3. What is Business Intelligence? • Business Intelligence (BI) refers to computer-based techniques used in analyzing business data. • BI technologies provide historic, current, and predictive views to business operations. • Common Functions: Reporting, Analytical Processes, Data Mining, Benchmarking, Predictive Analysis. • Data + BI = Better Decision Making

  4. BI Cycle

  5. History of “Business Intelligence” • 1958 – IBM researcher Hans Peter Luhn used the term “business intelligence” and defined the word “intelligence” as “the ability to apprehend the interrelationships of presented facts in such a way as to guide action towards a desired goal.” • 1989 – Howard Dresner proposed BI as an umbrella term to describe “concepts and methods to improve business decision making by using fact-based support systems.”

  6. BI In The World Today • Raw Data  Useful Information • Measurement • Progress towards goals. • Analysis • Quantitative processes for better decision making. • Reporting • Building/Visualizing strategies and results. • Collaboration • Sharing information to external branches of business. • Knowledge • Using what you learn.

  7. Business Intelligence Tools Business Objects SAS Cognos Microsoft Hyperion

  8. Future of BI • As technology expands, so does BI • More accurate predictive analysis • More platforms and vendors • Software as a Service (SaaS) • Real-Time Business Intelligence • Fix “drowning in terabytes of data”

  9. Potential Problems • User resistance • Users do not believe the results • Poor data and poor data warehouses. • Lack of understanding within business.

  10. IBM "Sketching the Future"

  11. What Did We Learn? • BI – Computer-based techniques used to analyze data, form reports, make predictions, and allow for quality decision making. • Mid 1990’s – Howard Dresner • Potential Problems exist, but are workable. • Will grow quickly in the near future.

  12. References • Business Intelligence Solutions • www.cio.com • Microsoft Business Intelligence • www.microsoft.com/bi • Cognos BI and Performance Management • www.ibm.com

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