Written by Tamr
As more and more enterprises try to embrace the full value of their data, they are realizing that significant cultural and technological shifts are required to fully leverage data as an asset. The result has been the emergence of a new discipline known as DataOps–an automated, process-oriented methodology used to improve the quality and reduce the cycle time of data analytics. DataOps enables enterprises to close the gap between the potential value of their vastly siloed legacy data and the continued realization of the data’s value by all of the people in their organization.
When it comes to establishing DataOps at your organization, however, it can be difficult to know where to start. This infographic details some of the major considerations for DataOps–the people involved, the key principles, and the technological components needed to enable your organization to take advantage of its data.
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