Data chaos to data trust
- Unify teams for a comprehensive data strategy
- Shift from reactive firefighting to proactive prevention
- Turn abstract policies into automated enforcement
What’s inside the whitepaper:
Four-pillar framework for data quality
Aligning governance, creation, operations, and consumers to solve data quality issues across the lifecycle.
Automated policy enforcement & stewardship
Using Al and metadata analysis to draft practical policies and automatically identify data owners.
Proactive monitoring and remediation
Detecting anomalies, identifying root causes, and assigning resolutions proactively using centralized remediation tools.
Trust, transparency, and feedback loops
Building confidence by displaying quality scores on dashboards and enabling direct issue flagging.
OvalEdge recognized as a leader in data governance solutions
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“Reference customers have repeatedly mentioned the great customer service they receive along with the support for their custom requirements, facilitating time to value. OvalEdge fits well with organizations prioritizing business user empowerment within their data governance strategy.”
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“Reference customers have repeatedly mentioned the great customer service they receive along with the support for their custom requirements, facilitating time to value. OvalEdge fits well with organizations prioritizing business user empowerment within their data governance strategy.”
Gartner, Magic Quadrant for Data and Analytics Governance Platforms, January 2025
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