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Head of Product @ Pantomath

When working with enterprise data, data engineers and analysts know the feeling of dread when you're met with the age old question, "why does my report look wrong?". This happened countless times during my time leading Enterprise BI at General Electric. At Pantomath, our customers have found that 90% of the time, the issue has nothing to do with the data itself, but was caused by a "leaky" pipeline creating and moving bad data. Data Quality monitoring should be a feature within your data pipelines, not a stand-alone product. Without end-to-end traceability and proper incident response, Data Quality solutions are only reactive and do not solve the problem. Learn more about our approach to Data Quality here.

The Pantomath Data Quality Framework

The Pantomath Data Quality Framework

pantomath.com

Very helpful!

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