Trash or Treasure?
One person's data trash is another's data treasure, and some of the treasure may actually be trash. Today, only about 12 percent of data in an organization is analyzed. Eighty-eight percent isn't touched at all — though that portion could contain useful insights — often because the teams that store it and the groups that need it are in different parts of the organization. And some of the data sets that are used shouldn't be, because they're stale, noisy, or incorrectly calculated. Data-driven organizations break down the barriers of data siloes, and let people access useful data across divisional boundaries. At the same time, though, they insure that the real data garbage is marked or deleted. Finally, they zealously manage the quality of their data.