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Automated quality-control checks

Emmi’s latest public equities and public fixed income universe data have now gone through automated quality control checks. Generating estimations creates a complex problem of being able to “validate” the accuracy of an estimate. With Elementary powering our automated quality control checks, Emmi now runs a series of checks on individual entities estimates or risk numbers, on universe-wide checks, on company peers, or even on year-to-year comparison checks of company estimates.


These powerful checks create warnings or trigger failures that must be dealt with. Some failures can be addressed via further automation, while others in high-impact situations have a manual intervention workflow to resolve.


Over time, this is going to result in an increase in Emmi’s data reliability and quality, as our checks become more rigorous, nuanced, and actionable. Right now, checks are applied to our public asset classes, but we expect to see this evolve to include checks on private asset classes data in the future.


Benefits:

  • Higher data integrity for public asset classes

  • Future higher data integrity for private asset classes

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