In flight data and process integrity management that is integrated every step of the way.
Key Data Governance Features
Requirements for Data Governance and Compliance
Access and Trace Every Event
See globally all the data flowing through the integrations, spot errors and exceptions then drill down to the field level for management.
Centrally access all notifications and data exceptions then drill down into the event to understand what is going on.
Adjust tolerances to exceptions and understand how to remediate data governance issues at source or in flight.
Designed to be used by the professional that is looking for the edge in making decisions. Understand at a deep level the hidden patterns within your data sets that impact real world operations
The power of machine learning and AI is used to cover wide areas of your data landscape to identify issues that are hidden because of their disparity.
Use the built in data governance algorithims to find, assess and work with data driven insights while giving you the ability to model possible scenarios.
A how to guide in approaching data governance that lays out the foundation needed for success. Featuring cloud data warehouse Snowflake.
Repeatable success patterns that scale automation and AI driven processes. Learn from how to leverage these two concepts for scale.
As more critical data spreads across the organization modern solutions are needed for data preparation use cases unsolved with legacy tools.