Discusses Location Intelligence as the Next Evolution of Business Applications. Shows Cognos v10 Map Integration

1. Integeo Map Intelligence: Location Intelligence: The Next Evolution of Business Applications

2. Agenda Why do location analysis? Case studies Interoperability Demonstration Wrap-up and Q&A

3. Attendee Panel Close / Open dialog box Expand window to take up full screen Submit questions

5. Whereare our sales?

6. Whereis our target market?

7. Whereis our sales force deployed?The where can be just as important as the what and who % of companies using above technologies 80% of data has the location component, but businesses are unable to exploit it Business Week Research

8. Why do Location Analysis? Location information in decision-making:

10. Product mix vs customer needs / segments, egaffluency in a particular location

11. Competitive info, eg competitors network of outlets

12. Traffic patterns within the area, easy access

13. Service outlets, real-time deployment of service engineersCombine multiple location-inherent data with geographic information for better detection of patterns and trends, and turn these into actionable insights

14. Google Blog Spot

15. Why do Location Analysis? “Gartner recognises GIS as a major maturing technology with a value and benefits profile similar to that of BI, and expects interactive visualisation to become the common front 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” “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.” Ventana Research 2009 Gartner Summit 2008 “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.” “Location intelligence (LI) is poised to make its play in the enterprise. LI is finally making make inroads in corporate decision-making circles” Ovum Oct 2008 “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.” DMTI May 2009 Ovum May 2009

16. Location Visual very powerful Readily interpreted by Executives

17. Summary - Why do Location Analysis Expectation it will be provided in reporting and business tools such as ERP and CRM’s Google Maps/Google Earth commonplace No Coding – Easy to do – tools like Excel End Business user focus Merge internal data with external data sources Readily available Location Services – Weather Bureau

20. Address

21. Total Spent

24. US Army Track progress of recruit induction Army competes for talent Only a small percentage are eligible Only a small percentage proceed beyond basic training Require tools to provide better intelligence in the market place Interactive maps improved efficiency by 75% Provides new insights into marketing campaigns Recruitment officers now have on demand access to maps in the field – with merged internal business data and external data over Google Maps

26. Tupperware Marketing campaign drove location based analysis Use Census data to identify target markets not currently covered by Tupperware agents Also used to rationalise management of Agents by Distributors Identify locations that might warrant placement of a new distributor location

27. Location - Interoperability CRM’s Asset Management Document Management BI tools GIS servers Spatial web services Spatial interfaces Use OGC standards MI Restful API MI Client Integration Kit to link your applications to Map Intelligence

28. Map Intelligence WMS export Many Different GIS servers Do they support WMS import Map Intelligence supports export of BI spatial layers as interactive WMS Allows opportunity to link BI with other GIS servers Example – DEEWR using specific BI tool and specific GIS platform Integrate BI into an existing GIS interface

29. Integration Strategy BIDashboard Other UI WMS BI Server Integration Platform BI data OGC Requests KML Business Data Reference Data GIS Server WMS Google Earth GoogleMaps ShapeFiles StreetPro

30. Architecture Business Data   GIS Base Maps Reference Data   Reference Data COGNOS Geoserver MapInfo ESRI Oracle Hyperion Oracle OBIEE BusinessObjects BIRT Location Intelligence Business Intelligence and Transactional Platforms GIS Server Micro Strategy Qlikview Excel MS RS CIK

31. Viewers

32. ESRI FlexViewer

33. Google Earth Open Layers Custom Viewer Google Maps Street View

34. Client Custom GIS Application Export as a WMS Layer for import into another application

35. Location Based Analysis – Weather event impact Google Maps background Web Service feed of cyclone Web Service feed of business data locations from Excel Map Intelligence Server brings together

36. Spatial Analytics Features

37. Measure Visualization by Color-coding Color-coded regions from the world, to country To cities, associations calculated spatially in real-time To individual sales / service locations Show linear features color-coded by eg accident rate or other measures Floor plan, desk or building locations color-coded by an attribute Show measures within a kilometer radius

38. Show highest concentrations Concentrations by Contours Show prominence Patterns Analysis

39. Show me area of control for each distribution outlet. Every point within each polygon is closest to the controlling point. Show me the distance on the ground between points or along a route. Plot the route a courier van took or draw a line from the store to its best customers. Route / Site Planning

40. Augment business data with demographic data, eg Sales vs. population. Use “as the crow flies” circles. Demographic Analysis Show charts on regions

41. Google Charts

42. Export to Google Earth to show Points of Interests and 3D view Show Google Streets Layer WMS Layers Integrations Export as a WMS Layer for import into another application

43. Demonstration Demonstration of mapping from Cognos 10 Output as Web Map Service Cognos data over a number of spatial interfaces Excel and Business Intelligence Integration

44. Integeo Map Intelligence Independent of business domain Seamless, synchronized integration between BI, GIS Merge business data with external geographic factors Advanced visualizations Interactive, dynamic web applications No programming skills needed by developers Vendor-neutral

45. How to get Started Quick, Easy and Cost-Effective Start at base level with Map Intelligence for Excel Then expand to include Location in BI capability Put in place Map Intelligence Server Incorporate key boundary data – States, County, Zipcodes If you need more detail use a web service such as Google Maps or Open Street Maps Only Geocode core data, use at more aggregated level initially Use OGC Map Services where suitable such as Weather feed

46. Q & A Download your evaluation copy now! sales@integeo.com www.integeo-sea.com wendyv@integeo-sea.com www.integeo.com rodr@integeo.com http://twitter.com/Integeo