There are a couple of common threads amongst these examples. First, these techniques were born in a time where hierarchical cubes and pre-aggregation were the only possible way to handle the large data volumes and still achieve acceptable performance. Second, they presume someone could design a report that answers all of the business questions, which is misleading and profoundly false.
The elephant in the room
Pre-aggregation is the enemy of insight. There is always a need to dive deeper into a KPI or a variance and the limitations of this technique is glaring. So what did we (as business users) do? We built a shadow IT environment that stores all the detailed transactions. Come on… admit it, we all did this (and many still do). Spare me the lecture on data governance when your users are working around the inflexibility of your traditional query tools by exporting the details on their desktop and/or sending details through email.
My point is that this isn’t rocket science, we do have the capacity to “solve this business problem technologically” and Qlik’s unique approach, combined with the powerful Qlik engine, is un-matched in the marketplace.
As Dean Sutherland (Regional Director of Sales in the Mid-West and 11-year veteran at Qlik) said on a call when he was whiteboarding this concept for a customer, “It is easy for us to be passionate about this because it is true.”
If you would like to find out more about Qlik and how we are transforming business analytics in the Financial Services industry, I would like to invite you to read my blog called “Financial Services Compass.”