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AI and machine learning models can be instrumental in a variety of financial services applications, such as fraud detection, liquidity management, or customer churn prediction (to name a few). But without data quality monitoring, the use of AI can backfire by creating risk for businesses and their customers. High-quality data is the foundation of any … Continued

This is the second post in our “Monitoring Metrics” series. We’ll cover how to use Anomalo to monitor multiple metrics at once and stay clear of common pitfalls that statisticians face. ‍ Think about visiting the doctor and getting your vitals measured. A doctor doesn’t prescribe a treatment based on one single metric like body … Continued

Sustainable Data Governance with Unity Catalog ‍ The time to view data governance as a luxury, a nice-to-have, has come and gone. In today’s data-driven world, proper data governance is essential for survival. It has become a key enabler to organizations’ future growth and resilience, especially for highly regulated entities such as financial services institutions … Continued

While nearly every business today relies on high-quality data, no two businesses have exactly the same data quality needs. Looking to measure the ROI of data quality monitoring at your organization and understand the factors that go into this equation? Download “The Business Impact of Data Quality Monitoring,” Chapter 3 of our new O’Reilly book … Continued

Anyone who works with large amounts of data knows there are uncountably many ways for data quality to suffer. For the modern business that depends on its data to make decisions, bad data means bad decisions. Therefore, maintaining data integrity needs to be a top priority. Data quality monitoring software has been around for decades … Continued