Yellowfin Location Intelligence Best Practices Webinar


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  • Location Intelligence is the capacity to organize and understand complex events through the use of geographic relationships inherent in all information. Yellowfin’s Location Intelligence combines traditional Business Intelligence with the addition of a spatial element to let you easily visualize your spatial and business data simultaneously.
  • “ Yellowfin gives us the ability to use GIS data to determine where our sales and customers are coming from to detect new opportunities.” (Cosmetics Cubed IT Manager, Lloyd Shanks)
  • DEMO Example Athlete Geo Point Agency Polygon Invoiced Amounts Change Colour Add GIS background
  • Show Example 1 from dashboard. I can see sales Where are my athletes I can drill into the layers do see France has no-one.
  • If I’m a skier where are my ski fields If I’m look after fishing supplies, where are the lakes and rivers.
  • Drill Through in analysis tab Drill Through on Google Map.
  • Yellowfin Location Intelligence Best Practices Webinar

    1. 1. Location Intelligence Best Practices
    2. 2. Location IntelligenceWhere it’s at…
    3. 3. Your presenters Year | LastYellowfin CEO, Glen RabieYellowfin Strategic Alliances Manager,Daniel Shaw-Dennis
    4. 4. What is LocationYear | Last Intelligence?
    5. 5. | Functional DeliveryTechnical Jargon11%Only 11% of IT managers are familiar withthe term “Location intelligence”Tech Target Survey 2012
    6. 6. It all starts |with data Delivery Functional80%Of all data has a location element
    7. 7. What does| this include? Last YearBeing able to map your data is important ••90% of marketing managers from across the transport, finance, retail and public Customers Addresssectors plan on implementing enterprise mapping and geospatial technology in 2012(Vanson Bourne) • Store Address•Organizations like yours listed “geographic-intelligence functions” as the standoutnew analytics product requirement for 2012 (Gartner’s 2012 BI Magic Quadrantsurvey) • Supplier Location • Events • Government Regions • Sales Territories
    8. 8. Spatial dataLast Year determine: | is used to• How big is my market area?• What is my share of the market area?• Which market areas offer the greatest potential for growth?• What is the spending potential for my product in this market?• How many stores can this market support?
    9. 9. Benefits of| Mapping in BI Last Year• Used where traditional tables/grids, graphs and other analysis tools fall short• Shows where data is NOT located in addition to where it is located• Set you maps in motion to see changes over time
    10. 10. Case StudiesHow its used
    11. 11. | Last YearCholera Map of 1854
    12. 12. More recentLast Year | examples
    13. 13. Visualization StylesHow to put your data on the map
    14. 14. Rasta MapsMobile device v PC |
    15. 15. Polygons | Smart Phone Conversion
    16. 16. HeatMaps | Internet Access Growth• Heat maps should only be used for high density data
    17. 17. Point Data| Tablets & PCs
    18. 18. Time Animations & PCs | Tablets
    19. 19. Best PracticeMakes perfect..
    20. 20. Best Practice #1 Geocode your data (mapify it!)
    21. 21. | What do they do?Getting the spatial level rightGeocoding is linking your data to ageographic / spatial place•Point•Zip Code•County•StateWhat’s the right level for your data
    22. 22. Where can|IWhat do they do? get it• Map Providers• Govt. Web Sites• Manually… from Google
    23. 23. Best Practice #2 Use multiple layers for better insight
    24. 24. Why Stack| it on Mobile BI for consumersLayers provide the ability to mixand match various metrics to findcorrelations and patterns
    25. 25. Best Practice #3 Background maps provide context to your spatial data points or polygons
    26. 26. Services | Mobile BI for consumersGoogle Maps, WMS Layers – seeterrain, cities, streets, population inthe context of your data
    27. 27. Best Practice #4 Think beyond traditional maps and geography
    28. 28. Location is| not just BI for consumers Mobile traditional mapsUse images to providealternative mapping options:•Campus map and studentnumbers•Human body for injuryanalytics•Warehouse floor plan forstock levels
    29. 29. Best Practice #5 Combine mapping withother visualizations for a deeper understanding
    30. 30. Greater level of analysis consumers | Mobile BI forCombine Location analysis withtraditional data analysis & visualization:•Filtering•Analytic Dashboards
    31. 31. Best Practice #6 Let your location data drive you to the information you need.
    32. 32. Drill down to the depths consumers | Mobile BI for Slice and Dice, Drill through and Drill down to see the why behind the where
    33. 33. Best Practice #7 Look for opportunities where no data exists
    34. 34. Where thing’s aren’t for consumers | Mobile BISeeing what’s not there is the bigopportunity:•Where could I put new stores•Should I change my marketing targetareas and channels•What is my target demographic
    35. 35. ConclusionQuestions
    36. 36. More InformationYear | LastYellowfinwww.yellowfinbi.comFeedback & @YellowfinBI Yellowfin LinkedIn User Group