Elimination of effort spent cross-referencing and regenerating, more energy focused on finding the real outliers and business insights, and opportunity to generate more value! (Cue angels singing) The instant they realize just how different, and how much faster and more effective their analysis can be, by viewing their data in that 3- or 4-dimensional way. The “Aha” moment when the light bulb turns on. This is where it happens, and the room somehow just seems so much brighter. They started asking questions, and Qlik Consulting provided options on how they could change their requirements to leverage the power of that associative data model. Then the customer started their path to the light. The customer had very specific requirements, which were followed, but also reflected that 2-dimensional thinking I mentioned earlier. Like on many projects, we were initially tasked with building a proof-of-concept on production data. In the current state, the effort would take 4 people, 4 weeks to complete with the likely potential to miss something due to the human element of manually loading and analyzing data.Įnter Qlik Consulting. The customer wanted to use Qlik to help them in situations where they had to quickly take on data for one of their clients do analytics to find potential issues or outliers looking at millions of rows produce a report and then delete the data. In one such case, Jonas Jonsson, Senior Director and Head of Northern Europe Consulting, told me about a customer situation that had followed a very typical path. It often takes guidance or a push from others to “see the light”, and the real power of analyzing data real time in a 3- or 4-dimensional perspective. In this context, that means they assume data is 2-dimensional, and they build visual analytics to fit that 2-dimensional viewpoint. Unfortunately, human nature makes us continue to follow the path we are most accustomed to. I’ve seen some who simply do not believe it – and others who believe it, but don’t immediately see how it can drastically change the way they analyze their data. Qlik’s associative data model is a hard concept for some folks to get their head around.
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