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Customer Use Case
Customer Use Case

Empower Customer Success with Data


  1. SaaS Cyber company
  2. Complex semi-structured event data is streamed into Snowflake. It powers dozens of product metrics
  3. The customer success team seeks to use event data to improve the conversion of pilots to customers
  4. Data users (about 20 customer success analysts and business users) know SQL but not technical


  1. Data complexity requires more engineering skills than data users have
  2. The data engineering team is overwhelmed and lacks business context to drive KPIs
  1. Data engineering modeled all events and metrics in Honeydew
  2. Data engineering uses Honeydew to build dynamic datasets for business users.
  3. Business users can self-serve on the data with simple SQL and Looker


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