Don't Get Lost in Data Without a Map

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Discusses map integration into your reporting and dashboards

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  • Insurance - an insurer offering flood-loss coverage could improve the otherwise manual and labor-intensive process of physically comparing a potential customer’s address to existing flood zone maps to determine the eligibility and premiums of such a policy. This manual decision-making process is labor-intensive, involves a significant time cost (averaging two to four days), and is prone to error, both through the location of customer properties and through the use of infrequently updated maps.
  • For example, info of your sales & service outlets in relation to your existing customesrs is a great place to enhance your business processes
  • For example, info of your sales & service outlets in relation to your existing customesrs is a great place to enhance your business processes
  • For example, info of your sales & service outlets in relation to your existing customesrs is a great place to enhance your business processes
  • Don't Get Lost in Data Without a Map

    1. 1. Integeo Map Intelligence: Don’t Get Lost in Data Without a Map<br />
    2. 2. Agenda<br />Why do location analysis?<br />Case studies<br />Steps to Location Intelligence<br />Demonstration<br />Wrap-up and Q&A<br />
    3. 3. Attendee Panel<br />Close / Open dialog box<br />Expand window to take up full screen<br />Submit questions<br />
    4. 4. Why do Location Analysis?<br />Every dollar spent <br />has a location<br /><ul><li>Whereare our assets?
    5. 5. Whereare our sales?
    6. 6. Whereis our target market?
    7. 7. Whereis our sales force deployed?</li></ul>The where can be just <br />as important as the what <br />and who<br />% of companies using above technologies<br />80% of data has the location component, but businesses are unable to exploit it<br />Business Week Research<br />
    8. 8. Why do Location Analysis?<br />Location information in decision-making:<br />
    9. 9. Why do Location Analysis?<br />Business data becomes valuable when collected & analyzed in relation to other internal or external data, eg, match your sales / service distribution outlet revenue info with<br /><ul><li> Demographics info like population density
    10. 10. Product mix vs customer needs / segments, egaffluency</li></ul> in a particular location<br /><ul><li> Competitive info, eg competitors network of outlets
    11. 11. Traffic patterns within the area, easy access
    12. 12. Service outlets, real-time deployment of service engineers</li></ul>Combine multiple location-inherent data with geographic information for better detection of patterns and trends, and turn these into actionable insights<br />
    13. 13. Why do Location Analysis?<br />“Gartner recognises GIS as a major maturing technology with a value and benefits profile<br />similar to that of BI, and expects interactive visualisation to become the common front<br />end to analytical applications over the next couple of. By linking location to corporate information, organisations can use location intelligence to make better decisions, enhance planning capabilities, and achieve real business benefits”<br />“The evolution of information technology has matured rapidly to support the use of "location intelligence" for making effective business decisions. When combined with embedded automated decision applications, location intelligence can lead to the execution of precise customer decision strategies and a new level of enterprise performance.”<br />Ventana Research 2009<br />Gartner Summit 2008<br />“Companies are already sitting on a gold mine of location information that can be exploited right now. Location content can be leveraged to deliver key business value; whether it's lowering costs, managing risk or developing new revenue streams. And the reality is, location data is already sitting latent inside most organizations. All they need is the right expertise to unlock its potential and get better results.”<br />“Location intelligence (LI) is poised to make its play in the enterprise. LI is finally making make inroads in corporate decision-making circles”<br />Ovum Oct 2008<br />“Many are now looking to capitalise on location data in their BI to better leverage the where in operational and strategic decision making. LI can make BI sizzle.”<br />DMTI May 2009<br />Ovum May 2009<br />
    14. 14. Location Visual very powerful<br />Readily interpreted by Executives<br />
    15. 15. Summary - Why do Location Analysis<br />Expectation it will be provided in reporting tools<br />Google Maps/Google Earth commonplace<br />No Coding – Easy to do – tools like Excel<br />End Business user focus<br />Merge internal data with external data sources<br />Readily available Location Services – Weather Bureau<br />
    16. 16. Location Based Analysis – Weather event impact<br />Google Maps background<br />Web Service feed of cyclone<br />Web Service feed of business data locations from Excel<br />Map Intelligence Server brings together<br />
    17. 17.
    18. 18. <ul><li> Name
    19. 19. Address
    20. 20. Total Spent
    21. 21. Items purchased</li></li></ul><li>Case Study - Carrefour<br />Replaced previous time consuming and manual distribution of Carrefour Club analysis with automated process delivered via web browser through integrated mapping into Business Objects<br />Business Benefits:<br />Stores now have an interactive mapping environment<br />Deeper analysis can be made using BI filters<br />Maps always reflect the latest data<br />Maps are delivered in seconds, not months<br />
    22. 22.
    23. 23. US Army<br />Track progress of recruit induction<br />Army competes for talent <br />Only a small percentage are eligible<br />Only a small percentage proceed beyond basic training<br />Require tools to provide better intelligence in the market place<br />Interactive maps improved efficiency by 75%<br />Provides new insights into marketing campaigns<br />Recruitment officers now have on demand access to maps in the field – with merged internal business data and external data over Google Maps<br />
    24. 24. Demonstration<br />
    25. 25. South Australian Lotteries<br />Use MI Excel to do sales analysis of different lottery games<br />Analysing sales outlet by postcode and locality, <br />Integration Population and Income data from the census<br />Merge with Sales Data and then put on map<br />Used to identify areas of high market pentration<br />Just as importantly areas of potential market demand not covered<br />
    26. 26.
    27. 27. Radio Rentals<br />Use Map Intelligence with Cognos BI Environment<br />Cognos used to analyse sales by postcode location and sales outlets performance.<br />Previously presented in charts and tables comparing areas<br />Now provided with additional interactive map to look at coverage issues<br />High and low market penetration.<br />Getting more value out of the same data and same reports<br />
    28. 28.
    29. 29. Tupperware<br />Marketing campaign drove location based analysis<br />Use Census data to identify target markets not currently covered by Tupperware agents<br />Also used to rationalise management of Agents by Distributors<br />Identify locations that might warrant placement of a new distributor location<br />
    30. 30. Demonstration<br />Demonstration of mapping from Excel<br />
    31. 31. Steps to Location Intelligence<br />What sources of info must LI tap<br />Start with the basics<br />What location Info can enhance knowledge of products & services, and improve your encounters with your customers<br />Utilize multiple data sets, eg sales by territory, number of salesmen within the territory, the number of distribution trucks, etc.<br />Take advantage of already existing data in your data warehouse / BI<br />Ventana Research<br />
    32. 32. Steps to Location Intelligence<br />Enhance business data with demographics dimension, GIS and maps<br />External demographics info is also insightful<br />Eg in retail, you should look at the population demographics of the site targeted, the network of roads / buses / trains from your customers leading to your outlet, etc<br />In retail estate, you should look at the proximity of surrounding facilities, is there convenient transport, supermarkets, banks, schools<br />Integrate spatial information with business information<br />A single, synchronized view of your data, provides 360-degree view of information<br />Single View of Your Data<br />
    33. 33. Steps to Location Intelligence<br />Visualize on a map<br />Easier to detect patterns and trends in a map than traditional row and column spreadsheets<br />Drive the map from the business data / report (BI)<br />Drive the BI from the map<br />Leverage on Location Intelligence tools to gather insights<br /><ul><li>Color-coding
    34. 34. Hotspots / data concentration, surface attribute
    35. 35. Region control, distance calculator
    36. 36. Drive times, line layers
    37. 37. Calculations & display of spatial measures</li></li></ul><li>Steps to Location Intelligence<br />How important are these location intelligence benefits<br />Deliver LI to your business users desktops<br />LI has evolved from the once exclusive domain of GIS experts, to the business users<br />Integrate LI into the organization’s business processes – for improving customer service, for responding to customer’s requests faster, for developing targeted marketing campaigns, for assessing risk<br />Ventana Research<br />
    38. 38. Measure Visualization by Color-coding<br />Color-coded regions from the world, to country<br />To cities, associations calculated spatially in real-time<br />To individual sales / service locations<br />Show linear features color-coded by eg accident rate or other measures<br />Floor plan, desk or building locations color-coded by an attribute <br />Show measures within a kilometer radius<br />
    39. 39. Show highest concentrations<br />Concentrations by Contours<br />Show prominence<br />Patterns Analysis<br />
    40. 40. Show me area of control for each distribution outlet. Every point within each polygon is closest to the controlling point.<br />Show me the distance on the ground between points or along a route.<br />Plot the route a courier van took or draw a line from the store to its best customers.<br />Route / Site Planning<br />
    41. 41. Augment business data with demographic data, eg Sales vs. population.<br />Use “as the crow flies” circles.<br />Demographic Analysis<br />Show charts on regions<br />
    42. 42. Export to Google Earth to show Points of Interests and 3D view<br />Show Google Streets Layer<br />WMS Layers Integrations<br />Export as a WMS Layer for import into another application<br />
    43. 43. Integeo Map Intelligence<br />Independent of business domain<br />Seamless, synchronized integration between BI, GIS<br />Merge business data with external geographic factors<br />Advanced visualizations<br />Interactive, dynamic web applications <br />No programming skills needed by developers <br />Vendor-neutral<br />
    44. 44. How to get Started<br />Quick, Easy and Cost-Effective<br />Start at base level with Map Intelligence for Excel<br />Then expand to include Location in BI capability<br />Put in place Map Intelligence Server<br />Incorporate key boundary data – States, County, Zipcodes<br />If you need more detail use a web service such as Google Maps or Open Street Maps<br />Only Geocode core data, use at more aggregated level initially<br />Use OGC Map Services where suitable such as Weather feed<br />
    45. 45. Q & A<br />Download your evaluation copy now!<br />www.integeo-sea.com<br />wendyv@integeo-sea.com<br />www.integeo.com<br />rodr@integeo.com<br />

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