You might have heard the phrase "Data is the new oil". It's true. Jus as low-quality oil with impurities and other unwanted substances isn't as valuable, so is low-quality data. Data has to be refined and free from issues in order to be useful. Low-quality data can lead to problems in your business intelligence and ML-powered predictive analytics. Low quality data includes missing data, incorrect data, incorrect formats, or data that hasn't been updated, among other things. Data Quality Monitoring is the process of monitoring data flow in an organisation & generating alerts for any discrepancies that might occur at any stage of data creation, usage & maintenance.
Here are some amazing companies in the Data Quality Monitoring.