All effective businesses run on repeatable processes, and all processes are based on a continuous flow of information fed by enterprise and operational data sources. If the baseline data source is flawed, everything downstream is at risk. Given the range of data sources most companies work with, and the steadily increasing volume of data entering the system, the opportunity for data errors (incomplete, missing, inaccurate, or improperly contextualized) are endless.
The two biggest issues are 1) not knowing the data is flawed, and making a decision on the assumption that it’s not, and 2) triggering a reverberative effect as other downstream processes are affected by upstream decisions.
This problem is far more common than most people realize. Gartner estimates 40% of data used to make business decisions is flawed. The fact that all business runs on interdependent processes turns data discrepancies into a perfect storm of poor decision making. As if this was not enough, the rise of IoT as another vast data source of data entering the IT/OT system is going to accelerate this process immensely.
As challenging as this may sound, there is a solution that addresses these concerns directly.
Some of the most innovative companies in the world rely on Blazent to drive Data Quality Management throughout their organization, lowering costs and accelerating productivity increases. This foundation of high-quality data has profoundly changed the way their business operates.
Contact us today and let us show you how data integrity can drive significant improvements across all your enterprise processes.