Businesses wring their hands over having too little data. But what happens when you have too much of the same data? Figuring out conflicting reports, deciding between different metrics, and removing duplicate entries can prove an enormous drain of time and resources—especially for some of the world’s largest companies, which have implemented too many data warehouses, or data marts, that tell different stories about the same business processes or events.
Every executive wants workers to run reports that present accurate and consistent information—no matter what the data’s origin. At this month’s Teradata User Conference in DC, I heard from a number of IT architects on how they handled the situation and got their data more “truthy,” as Colbert might say.