Best Practices for Creating an Agile Data-Driven Strategy
Agencies must build a culture of data intelligence. And that begins with data governance, which manages availability, security and usability.
Agencies must build a culture of data intelligence. And that begins with data governance, which manages availability, security and usability.
Agencies must build a culture of data intelligence. It begins with data governance, which manages availability, security and usability while providing a framework for enforcing policies.
Before emerging technologies can transform an agency, the data has to be standardized, accessed and shared, directed by organizational guidance.
Today, federal workers have the potential to make a real difference in the ways agencies serve citizens, and data is at the center of the movement.
The continuous process of managing data — not just the deployment of a cool service — is the true producer of value in data.
Data, just like language, needs a dictionary for it to make sense. The Defense Logistics Agency recently finalized a data and analytics strategy and governance plan to get everybody on the same terms when talking about data.
To really move the needle in a way that sustainably transforms the organizational culture to a data-driven one, agencies need to progress beyond these initial ad-hoc use cases. They can do this by strategically harnessing the creativity and operational know-how of departmental staff to identify analytics opportunities enterprise-wide.
Experts at Veritas and ThunderCat Technology discuss the challenges associated with ever-increasing data and how a data governance strategy can help government agencies.
An agencywide data governance strategy puts the policies into place to take stock of data, standardize reporting, implement security procedures and discover potential use cases for data.
Agencies that utilize identity governance see all their users’ actions and interactions with data. Here are our best practices for using this strategy.