Data driven decisions are the basis of finding solutions that will solve any problem. Utilizing the BI tools are an everyday affair for me, which can often have repercussions should the information be inaccurate. Before we can apply BI to decision making, there is a need to analyze and ensure the integrity of the data.

HBR had a good article regarding the time lost due to looking, identifying and correcting errors in data sets. Time is of essence when it comes to project deadlines and there is nothing I rather not do, than waste time. Companies need to meet deadlines and they give there full trust in data sets. If an error comes up at the last minute when conducting analysis, we often look to quickly fix the data set without fully addressing the root causes.

Previously working in the retail clothing environment, many issues would come up regarding data integrity of our systems. Much of the blame would come back to the IT team and they would try to fix it themselves without going to the respective department who owned the data set. Not only is this inefficient but does not encourage collaboration and communication.

The solutions to this issue is better communication between the data creators and users. Too often do we put a band aid on a mistake and never go to the source. The focus should be shifting the responsibility from the IT team to the managers of data sets. This article gives examples at Chevron and the processes we should be implementing to ensure the right decisions are made with the right information.

I invite others to see if they have utilized these techniques in their companies through their management. What works best for your teams when these issues arise?