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Creating Real World Geographic Business Intelligence Solutions

Creating Real World Geographic Business Intelligence Solutions. Bob Hazelton Information Builders April/2006. Choosing a Framework. Build vs. Buy Build Many components, connections, databases Longer time to market Buy Full Enterprise Integration Well defined framework Easy to use tools.

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Creating Real World Geographic Business Intelligence Solutions

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  1. Creating Real World Geographic Business Intelligence Solutions Bob Hazelton Information Builders April/2006

  2. Choosing a Framework • Build vs. Buy • Build • Many components, connections, databases • Longer time to market • Buy • Full Enterprise Integration • Well defined framework • Easy to use tools

  3. Why Geographic Business Intelligence? • Five reasons to implement • Unique analysis of business problems • Enterprise level integration • Visually drive business processes • Real time rendering of events • Optimal presentation of information

  4. Why Geographic Business Intelligence? • Toggling between map and report • Clearly identifies patterns • Allows the analyst to zoom in on them • Isolates problems for further analysis • Tests hypotheses in an iterative process • Presents solutions in a variety of outputs

  5. Example – Food Stamp Fraud • Goals • Reduce the opportunity to commit fraud • Improve investigative process • Centralize information access • ROI • Reduced time for investigation • Increased accuracy of information • 10% reduction of fraud

  6. Example – Western Cape Education Dept. • Goals • Reduce drop-out rate • Improve services to all schools • Control contractor expenditures • ROI • Problem areas identified • Intervention programs in place • Monitoring results via GBIS

  7. Example – Large American Manufacturer • Goals • Manage supply chain • Identify bottlenecks • Anticipate and mitigate interruptions • ROI • Reaction time reduced to minutes, from weeks • Improved assignment of external shippers • Reduced JIT lag

  8. Example –Richmond, VA Police Dept. • Goals • Better distribution of finite resources • Predictive Analytics to look ahead • Reduced occurrence of crime • ROI • Resource distribution by prediction =70% reduction on New Years Eve40% reduction on July 4th

  9. Example – Union Pacific Rail Road • Goals • Enhance management of 87,000+ cars • Reduce late arrivals • Improve customer satisfaction • ROI • Addition of GBIS, seamless • Architecture bottleneck identified • Hard numbers still to be collected

  10. Creating Real World Geographic Business Intelligence Solutions Conclusion • A very powerful and easy to understand alternative to reports and charts • With the right tools, GBIS is easy to implement • ROI – not always a direct financial impact

  11. Creating Real World Geographic Business Intelligence Solutions Thank you! http://www.InformationBuilders.com http://ibigis.ibi.com

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