There is an urgent need for business intelligence that is fuelling the growth of the data warehousing market. But even as this market grows and matures ‚ data warehouse projects continue to be complex ‚ costly ‚ time–consuming and risky. It's still common for projects to take 18 to 24 months from conception to completion and to cost millions of dollars. And it's still all too common for projects to end in failure.

Leading industry analysts report that 20 percent of warehouse projects are abject failures, while another 50 percent are only partly successful. Other industry estimates place the overall failure rate even higher. In a great majority of cases ‚ failure is due to organizations' lack of data warehousing expertise and the use of traditional transaction-oriented development techniques and data models.

QDecisions strongly believe that the people who have been writing the checks for these business intelligence solutions have been burned more times than they have been rewarded. While most customers think they are ‘unique‘ ‚ the reality is 80% or more of what each of these customers track are the same. Why build a solution from scratch ‚ when development costs are likely to reach into the millions of dollars after taking into account licensing ‚ consulting or internal IT cost‚ let alone the opportunities lost during 12–18 months it will take to deliver the first metric?

QDecisions delivers vertically oriented Business Intelligence and Data Warehouse solutions that have industry best practices and key metrics "out of the box". By delivering industry specific solutions as a product that's ready to deploy‚ QDecisions dramatically changes the industry standard of costly and lengthy custom implementations. Built on an enterprise platform‚ QDecisions delivers a series of key strategic and operational KPIs and metrics through a variety of interfaces including dashboards ‚ portals ‚ analytic views‚ and traditional reports. Solutions are typically fully implemented in 90 days or less ‚ and can be carried out onsite or hosted in our data center.