It comes as no surprise that the volumes and complexities of data are projected to continue to increase over the next few years. At the same time market disruption and important business initiatives drive the need for trusted, governed data to succeed with data-driven digital transformation.
Organizations are rapidly realizing how much of a struggle it is to keep pace with these changes and keep track of their data assets. Not just because of regulations like GDPR, there is a need to know where the sensitive and personal data assets are, and how they move around the organization.
Data Discovery is the use of technologies designed to find and keep track of data assets, especially when data volumes and complexities are so significant. Finding data is only the first part of the challenge; making sense of it all and understanding data context is equally important. Without data context, how can data consumers know whether the data they’re looking at is the right data or fit for purpose?
In this webinar, we’ll look at:
- Data Discovery challenges and opportunities
- Data Catalogs and the role they play in supporting your data governance program, and more specifically providing data context
- How AI can help deal with volume and complexity issues