Data Ownership Management
The best way to manage ownership and responsibility of all your datasets.
Establish ownership and responsibility of each dataset in your organization. Once you understand who has the most context; teams know its lineage, the history of its changes, and how to use it securely.
Data governance with
up-to-date ownership and lineage of your data.
Apply rules and responsibility to each dataset to provide compliance auditing, improve risk management, and ensure data is stored and processed in line with organizational policies and regulatory standards. Bringing data contracts into code.
Manage data in constant flux.
Data changes over time. In order to provide value to your business, your data must be properly organized and managed. Data lineage and ownership provides tracking capabilities that make it possible to reconcile and make the best use of old, new, and mutated datasets.
Simplify data migrations.
Data migrations become more and more complicated as your datasets grow. By knowing the location and lifecycle of data sources, you can quickly identify the changes to monitor to avoid data loss.
Improve data quality.
By improving data tagging and classification, you can ensure better data quality and upkeep. Stale or outdated data will only lead to poor outcomes.
