7 Characteristics of a Data-Driven Organization
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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.
Data-driven enterprises do exist today. These organizations capture and reinforce the value of their data by constantly surrounding it with context — describing where it's from, who has access, and how it is being and has been used. Counter to conventional wisdom, these organizations empower people by securely, safely giving their employees direct access to data, as well as providing interactive dashboards and colorful visualizations. These companies incentivize data analysts, stewards and IT staff to collaborate clearly and efficiently, bringing significant benefits to the entire organization.
In this slideshow, Alation's CEO, Satyen Sangani, highlights the behaviors and common characteristics that help define and drive today's most data-driven organizations.
Related Topics : Vulnerabilities and Patches, Resellers, Broadcom, Broadband Services, Supercomputing
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