This course was excellent, even for those with little to no SQL experience! Having access to a mentor and weekly check-ins meant I always felt supported and was able to learn at a pace that suited me, which definitely helped build my confidence and skill.

Emily Lee
Finance

Privacy.com

  • New York, NY
  • 10 - 50 employees
  • Fintech

Emily Lee

Save Time Using Automation to Detect Errors & Fraud

The Problem:

Emily is on the Privacy.com finance team, and is responsible for identifying accounts that are abusing a product return system.

Before Enki, this meant manually identifying accounts that had many small transactions with specific vendors, and flagging the accounts as abusing the return system.

Enki’s Solution:

Using the skills she learned from Enki's SQL Track, Emily is now able to use queries to quickly find all of the accounts following transaction patterns associated with abusing the return system.

Instead of manual data review to detect these accounts or missing the return system abuse altogether, she can now easily and repeatedly identify and flag them.

The Results:

This automation has saved an hour a week and allowed Emily to catch more accounts abusing the return system than before.

Together this works out to approximately $4,600 saved through reclaimed lost time and prevented return abuse each year.

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