Data quality is a difficult and often challenging task for many organizations. A recent study found that only 3 percent found that their departments fell within the minimum acceptable range of 97 or more correct data records out of 100. Let that number sink in for a minute. DATAVERSITY brought this interesting topic to our attention in their article, “Driving Data Quality.”

The research also revealed that on average, 47 percent of newly-created data records have at least one work-impacting error. This is disappointing for data reporting. Analytics can be very beneficial for an organization to base business strategies and budgets on, but they are only as good as the data available.

Before you start working to get the data “in shape”, establish some priorities. That means putting attention on the data that feeds the analytics that inform the decisions that are being made in support of organizational goals. Not every piece of data needs to be at the same level of quality as the data that is relevant to achieving an organizational goal.

Melody K. Smith

Sponsored by Data Harmony, a unit of Access Innovations, the world leader in indexing and making content findable.