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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...
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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...
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Data Quality Purpose-Built for Banking
In 2012, one of the world’s biggest banks, HSBC Holdings (HSBC), was fined a staggering $1.9 billion plus $665 million in civil penalties by US...
data-quality
Implementing Data Quality for Fair Lending Compliance in Banking
Did you know that fair lending compliance is one of the biggest pain points for regional banks and credit unions? In recent years, regulatory...
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Top 8 Features of a Data Quality Tool
If your data isn't high quality, it's worthless. Bad data quality means bad analytics, leading to bad business decisions that harm your organization....
data-quality
What is Data Quality? Dimensions & Their Measurement
When I was a kid, I remember going to the store to buy a new hard drive. When I asked the store manager how big it would be, he told me it would be...
data-quality
How to Manage Data Quality
You're a pilot whome navigation system is fed with inaccurate data. You may fly in the wrong direction or, worse, crash. Similarly, poor data quality...
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Data Governance and Data Quality: Working Together
Data Quality is the degree to which data is accurate, complete, timely, and consistent with your business’s requirements; whereas Data Governance is...
data-quality
Best Practices for Improving Data Quality
Data is often described as the new oil, but ensuring data quality is better compared to growing a delicate fruit. Just as with a fruit tree, data...
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