Across the public sector, various types of data, structured and unstructured, current and old, sensitive and trivial, pile up in disparate systems like tiny needles in an ever-growing haystack. And this dark data is costing government in terms of time and value. Not only is it costly to store dark data, but it also prevents agencies from finding data of real value that could inform decision-making to better serve citizens.
To better understand the cost of dark data in government and how agencies can overcome it, GovLoop partnered with DLT Solutions and Veritas, a leader in data management, for this research brief. To gain additional insights from the government community, GovLoop surveyed 203 public-sector employees on everything from how dark data limits their day-to-day jobs to the roadblocks preventing them from addressing dark data problems and more.
