4. Expand window to take up full screen Close / Open dialog box Submit questions
5. Extremely Costly Hard To Get the Right Data Industry Average Deployment: 17 Months Industry Average App Creation: 5 Months Services Cost $500K $400K $300K $200K $100K $0 Long Time to Get Results SAP BW Cognos Business Objects Data in Multiple Formats Users Unsure Getting Right Data 64% 36% Users Certain Getting Right Data BARC BI Survey 8 InfoWorld & IDC BI Survey
12. Location information in decision-making : Strategic Entry into a new region, outlet location, product direction, mergers & acquisitions Tactical Acceptable risk levels when developing offers for certain customer segments Operational Approve / decline, authorize, fraud detection, customer service Industry Use and Benefits of Location Intelligence Retail Determine optimal site location, Maximize market share Hotels & Property Site selection, target marketing, expansion planning Finance Optimize every customer touchpoint, Optimally allocate branch & sales staff Government Crime analysis, improve emergency responders, planning & dev’t of large-scale public works Insurance Improve underwriting decisions, better risk management Media Plan media publication and distribution according to subscriber demographics Telecommunications Analyze network coverage, market demand, competitor data, identify emerging trouble spots / downtimes, etc. Transportation & Logistics Analyze the maintenance of transport systems, route planning & optimisation, asset tracking
13. OGC Requests Integration Platform Google Maps GIS Server Shape Files StreetPro WMS QlikView BI Server Business Data Reference Data BI Dashboard BI data Other UI WMS Google Earth KML
14. Business Objects Oracle OBIEE CIK QlikView BIRT Cognos Excel Microsoft RS Microstrategy Location Intelligence Business Intelligence and Transactional Platforms GIS Server Geoserver MapInfo ESRI Oracle Hyperion Business Data GIS Base Maps Reference Data Reference Data
22. 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
24. 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.
25. Show charts on regions Use “as the crow flies” circles. Augment business data with demographic data, eg Sales vs. population.
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27. Export as a WMS Layer for import into another application Show Google Streets Layer Export to Google Earth to show Points of Interests and 3D view
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32. 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
Typically, there are serious challenges involved when finding and analyzing business information. Quadrant 1: First of all, it’s really hard to get to the right information. It’s also really tough to know if the data you’re getting is correct. Most users aren’t sure it is. Quadrant 2: Data is also in multiple formats and silos. Some business apps make users grapple with those formats and silos. The truth is, business users don’t care about this stuff. They just want the information and don’t care how it gets into the app. Quadrant 3: It also takes too long to benefit from these apps. The average deployment is 17 months, and the average app takes 5 months to create. This is absolutely unacceptable in this volatile economic climate. People need their business answers right now to solve critical problems. They don’t have months to wait around. Quadrant 4: Lastly, we can all agree it’s very expensive to use BI. Let’s pause for a moment. If most BI tools can’t get users the right information; can’t deal with multiple data formats; can’t get you up-and-running quickly; and are extremely costly, clearly they’re not meeting the needs of today’s businesses very well.
Now, let’s talk about something completely different. You use Google, right? We all do. It’s a fantastic tool. They took very complex technology and deployed it in a product where that technology fades into the background. Google serves hundreds of millions of people that use it with no training. Most people don’t know how it works— they just know it works. Imagine if they took Google away. What would that mean? People love it and depend on it. So, this is what people experience outside of their companies. And they wonder why they can’t have that experience inside them. They ask themselves “How can my company spend all of this time and money on BI and still have it not work?”
That’s where QlikView comes in. It combines the simplicity of the consumer app experience with the power of business apps to really deliver the information people need to run their businesses. And we’re not just talking about power users, but every single user inside your company. QlikView is also incredibly simple to use, and addictive too. It lets you see your business in new ways. It lets you spot new trends and opportunities. It lets you anticipate threats before they become a big problem. And it empowers every person in your company to make smarter business decisions. That’s why QlikView has fanatical users who can’t live without it—just like Google.
And very similar to QlikView is where Integeo Map Intelligence comes in. Without any programming, or skills of a GIS specialist, you can perform immediately spatial analytics. And we’re also not just talking about power users, but every single BUSINESS user inside your company. Integeo is also incredibly simple to use, and addictive too. It lets you see your business in a new dimension – the location dimension. Joefer will tell you more later of the associative search experience in QlikView. Meantime, let’s talk about why we do Map Intelligence with BI…
The traditional way of searching info is very linear-driven. For example, you want to see what the best performing region, so what you’ll do is: First, extract say 3 months sales data and put in a data warehouse Second, build a cube, and generate “top sales by region” report Then, study the report and you thought you’re prepared to discuss with your management the top sales region. Only to find out what you haven’t factored in other parameters like advertising cost, or personnel cost, or production cost. What’s worse, on another person’s perspective, a top region may be based on cash flow rather than net revenue, and so on and so forth. With associative, you explore data freely. And since information is stored in-memory, one click provides access to rich, interactive dashboards. Users can engage their data with blazing speed, resulting in more informed, proactive decisions.
QlikView takes all of your data from virtually any source and consolidates it into a single data pool. So, what does that mean for users? QlikView loads the entirety of that data pool into memory. That means there are no data warehouse or hard disks involved like traditional BI. The result is incredibly high performance. And the more memory you have, the better the performance. It means they get to search and analyze all of their data with Google-like ease. And because it’s all in memory, users can instantly make associations and see relationships between data residing in different applications, systems, organizations, and regions. They’re also able to change their analyses on the fly, while pulling live data in real-time. And they do all of this without calling IT. QlikView’s technology uniquely empowers users do this all of this. This is really different from traditional BI. With traditional BI, what the user gets is a limited data set pre-determined by IT.
QlikView provides this capability through a unique, step-by-step exploratory experience called ’Associative Search’. The user goes through a process that starts with assessing high-level information and making a selection (a click). The system recalculates on the fly and provides instant feedback, allowing the user to make associations in their mind, take a series of next steps and drill-into the details, and continue the process until the right insight is gained. The result is a more informed decision.
See www.integeo.com – for product details For future product directions see other slides – especially the ancillary slide “Next Generation Decision Support Dashboards”