I've saved a lot of time since going through the Data 101 Track. The skills I've learned help ensure that I have the most accurate and up-to-date data to make staffing decisions for my team."

Kate Quinlan
Senior Content Manager

Lift Ventures

  • San Francisco, CA
  • 11 - 50 employees
  • Internet

Kate Quinlan

Save Time Using Automation to Predict Staffing Needs

The Problem:

Kate is on the Lift Ventures product team, and is responsible for predicting customer demand to schedule the right number of employees for upcoming shifts. 

Before Enki, staffing was done using rough estimations based on manually gathered data about the current level of demand.

Enki’s Solution:

Using the skills she learned from Enki's Data 101 track, Kate built a dashboard that automatically retrieves demand data and suggests a recommended number of staff. 

Instead of manually gathering information about current demand and using it to estimate, she can now instantly access the most up to date data to make a decision.

The Results:

This automation has saved Kate 4 hours of time that would have otherwise been spent manually gathering the latest demand data to make estimates. 

This works out to approximately $8,800 in lost time being saved every year.

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