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No matter how big it gets, data still demands management and quality checks

Richard Jones Archive

Big data might have been all the buzz in 2012, but it's likely that data quality and management tools will be following not far behind this year as companies realize they need governance to reach their goals, Smart Data Collective reports. Data management is at the heart of all analytics strategies because that content needs to sorted, organized and verified, the source adds.

If businesses don't consider these checks and balances when deploying new strategies, they might fall victim to data quality blindness, Jim Harris writes in a recent article for Information Management. Harris likens this to a condition known as Anton's Syndrome, in which certain stroke victims do not realize they are blind because their brains aren't receiving accurate information about external stimuli. Rather, their brains generate images based on internal triggers that give individuals a false sensation of sight.

Similarly, many business leaders may not understand that the information they receive (and use to make important decisions) may not accurately reflect the data they meant to record, Harris explains. Because they can't see that their resources are flawed, company leaders might be more willing to deny issues than spend money fixing the root cause. These misrepresentations can be avoided when individuals responsible for handling the data are upfront about issues and present them in a manner that relays potential impacts on future operations.