Machine Learning Model 1

• Runs on user login data.

• The model revealed significant attributes that are helpful in classifying password-sharing events and the normal events.

​Machine Learning Model 2

• Runs on user usage data.

• The model revealed important correlations between various user usage attributes with the password sharing flag.

Click here to see an Account Manager's Dashboards based on dummy data.

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Recommended solution acceptance criteria

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ML insights (stack ranked), number of license on accounts, severity score/ probability, and specific accounts that are shared, in a dashboard either via Figma or directly on tableau. Along with a user journey and total amount of revenue Pitchbook is missing out on.

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• Integration of ML-powered insights for easy access by account managers i.e. password sharing criteria 

• Detailed Customer views and overview on: 

  • Revenue loss in $/ quarter/ user aka Password Sharing Severity score 

  • Additional seats used

  • Ranking and probability of password sharing event

• Aggregation of log data to ‘predict’ how receptive a customer is to increasing subscription

  • Number of accounts 

  • Number of IP addresses on account recorded

  • + ML insights **