Spectrum Spatial BI location intelligence

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Clarence Hempfield, Director, Global Product Strategy at Pitney Bowes presented BI + LI: A marriage of necessities at Gartner Business Intelligence & Analytics Summit, where Pitney Bowes discussed business intelligence, spatial analysis, #geocoding, Spectrum Spatial and more.

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Spectrum Spatial BI location intelligence

  1. 1. BI + LI: A marriage of necessities Clarence Hempfield Director, Global Product Strategy Pitney Bowes Software April 2, 2014
  2. 2. 2 The location imperative  80% of business data has a location component • Static – Addresses of customers, stores, all assets • Dynamic – Traffic flow analysis – Demographic and behavioral analysis – Real-time presence sensitivity  Answers fundamental BI questions
  3. 3. 3 And yet … it is under utilized “In virtually all BI implementations today, location information isn't ignored, but it is pretty much used exclusively as a descriptive attribute or very coarse-grained and often static dimension.” Andreas Bitterer, Gartner, 2012.11.23
  4. 4. 4 The tide is turning  Geospatial analysis in BI will double by 2016 (The Data Warehouse Institute, December 2013)  Vendors are stepping up • BI platforms adding geoanalysis/LI • GIS tools offering platform-specific solutions • Consumer mapping and SaaS • Commercial-grade, standards- based solutions
  5. 5. 5 BI + LI is ‘a marriage of necessities’  BI users today face two questions: • What’s the best path to the altar? • How can we make this marriage last?  Two challenges must be met • Business drivers • Technology drivers
  6. 6. 6 Business challenges  Massive existing investments • In multiple BI software tools • In business analysts who use them  The BI world is a multiplatform world • Agility and speed-to-insight paramount • No single “magic bullet” BI solution  Data quality/integrity a crucial concern
  7. 7. 7 The ideal BI + LI solution  Supports – Interoperability – BI processes – Data management best practices  Integrates superior LI functionality – Geocoding – Mapping – Time/distance analysis, routing – Data-driven insights – Performance
  8. 8. 8 Enabling BI + LI integration  Satisfy requirements at three levels • Data • System • People
  9. 9. 9 The data requirement  Accuracy, completeness, integrity  Across the location-enablement process – Identification of data and uses – Data cleansing – Geocoding – Data enhancement/integration – Modeling and spatial analysis – Delivery of insights to applications and processes
  10. 10. 10 The system requirement  Minimize complexity • Limit burden on IT staff • No new siloes  Support interoperability with BI platforms  Support open standards • WFS, WMS, WMTS, etc.
  11. 11. 11 The people requirement  Utility  Flexibility  High performance
  12. 12. 12 BI + LI: Paths to the altar  Forklift upgrades  Custom integrations  Discrete integrations  Consumer mapping and SaaS solutions  Standards-based, commercial solutions
  13. 13. 13 Forklift upgrades, custom and discrete integrations Advantages • Tighter integration • Some performance benefits • Suited to GIS-intensive applications Disadvantages • Expensive • Slow time to value • Installation, integration, maintenance • User training • Interoperability
  14. 14. 14 Consumer mapping and SaaS solutions Advantages • Lower initial cost • Familiarity to mainstream users Disadvantages • Lack functionality and third-party data • Lack interoperability • May not be suited to enterprise use • Data security/ownership concerns
  15. 15. 15 Standards-based, commercial-grade solutions Advantages • Interoperates with multiplatform BI environment • Less expensive than integrations • Familiar BI user interface • Broad utility • Accelerated time to value • Commercial grade and secure • Easier to maintain and upgrade
  16. 16. 16  Spectrum Spatial for BI merges location intelligence into enterprise business visualization platforms, delivering highly customized and current, spatially enabled reporting.  Business Intelligence (BI) Location Intelligence (LI) -applications, -Geocoding -infrastructure, -Point in polygon -tools, -Thematic mapping -best practices, -Hot spot analysis -analytics and -more -accessibility to information that improves or optimizes decisions and performance. Spectrum Spatial for BI will integrate the two Introducing Spectrum Spatial for BI
  17. 17. 17 A few benefits of Spectrum Spatial for BI • Provide consistent capabilities across a wide array of BI • Leverage existing investments in data warehouses • Utilize existing access mechanisms (e.g. Web based portals) • Maintain security within the BI solution • Rapidly perform analysis using current, accurate and relevant data • Empower the business to improve decision-making and results
  18. 18. 18 The best path to BI + LI  Preserves existing investments • BI software, data and people  Accelerates time to value  Easy to integrate, maintain and upgrade  Improves decision-making
  19. 19. 19 Spectrum Spatial for BI Not just “a marriage of necessities” BUT A “happily ever after” union of BI + LI
  20. 20. 20 Example using a full-bleed image Follow @MapInfo from Pitney Bowes Visit www.mapinfo.com
  21. 21. 21 About the Author Follow Clarence at @CHempfield http://www.mapinfo.com/author/chempfield

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