Take a tour
Book demo

Data Quality

Filter by Topic:

Top 7 AI-Powered Open-Source Data Quality Tools in 2025

Open source data quality tools are evolving fast and AI is accelerating that evolution. By combining the flexibility of open frameworks with...

data-quality

Implementing All Four Aspects of Data Quality

Data quality implementation follows a series of tried-and-tested methodologies. In this blog, we explore these methodologies, the order in which you...

data-quality

AI Data Readiness vs Traditional Data Quality

AI data readiness is different from traditional data quality. This article explains that difference using concrete examples so you can better prepare...

data-quality ai-readiness

Solving Data Quality Pain Points for Chief Risk Officers

Data quality issues severely impact CROs’ ability to build accurate risk models. In this article, we describe the nature of those data quality issues...

data-quality

AI Needs Domain Knowledge to Boost Data Quality

In this article, we explain how AI and domain knowledge combined tackle every aspect of data quality and how OvalEdge provides this holistic solution...

data-quality ai-readiness

Improving Data Quality at a Regional Bank | A Case Study

A regional US bank used OvalEdge to tackle data quality issues that were leading to inaccurate liquidity risk and credit risk predictions, and...

data-quality

Data Quality Purpose-Built for Banking

For banks, issues with data quality can have dramatic repercussions financially and from a compliance perspective. In this blog, we’ll explore the...

data-quality

Data Quality Challenges for Fair Lending Compliance in Banking

Data quality is a major pain-point when it comes to fair lending compliance. Most existing tools are not purpose-built to address this challenge....

data-quality

Top 8 Features of a Data Quality Tool

High-quality data is a cornerstone of data governance, but many companies still fail to implement ways to ensure it. The best way to boost data...

data-quality

What is Data Quality? Dimensions & Their Measurement

Data quality is a cornerstone of data governance and has a huge impact on the effectiveness and accuracy of business decisions. In this blog, we...

data-quality

How to Manage Data Quality via Frameworks

Data quality management is an essential element of data governance. However, to undertake it effectively, you need a dedicated tool. In this article,...

data-quality

Data Governance and Data Quality: Working Together

Data quality and data governance are closely aligned but there are some important differences between them. That said, successful data quality...

data-quality

Best Practices for Improving Data Quality

If you’ve read our other data quality blogs in this series, you’ll understand the importance of high-quality data for accurate decision making,...

data-quality

No results found

Find your edge now. See how OvalEdge works.

OvalEdge recognized as a leader in data governance solutions

SPARK Matrix™: Data Governance Solution, 2025
Final_2025_SPARK Matrix_Data Governance Solutions_QKS GroupOvalEdge 1
Total Economic Impact™ (TEI) Study commissioned by OvalEdge: ROI of 337%

“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.”

Named an Overall Leader in Data Catalogs & Metadata Management

“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.”

Recognized as a Niche Player in the 2025 Gartner® Magic Quadrant™ for Data and Analytics Governance Platforms

Gartner, Magic Quadrant for Data and Analytics Governance Platforms, January 2025

Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. 

GARTNER and MAGIC QUADRANT are registered trademarks of Gartner, Inc. and/or its affiliates in the U.S. and internationally and are used herein with permission. All rights reserved.

Find your edge now. See how OvalEdge works.