Keebo | Hyperscience

Hyperscience Achieves 50% Snowflake Savings with Keebo

  • 4x increase in Snowflake costs
  • Increasing use of dashboards
  • No resources for tuning or optimizing Snowflake workloads

Hyperscience began new initiatives to deliver dashboards and predictive models to their business users. This caused an increase in Snowflake usage that drove up costs. In fact, Snowflake costs increased 4-fold, an unsustainable rate. A traditional approach to solve this would have been to hire a data engineer (or several of them) to work on tuning and optimizing Snowflake in the hopes of reducing costs. While Hyperscience considered this, they ultimately chose to bring in Keebo instead of taking on expensive headcount that wasn’t directly involved in creating the analytics assets the business needed.

Erik Jones, Head of BI and Analytics
Hyperscience

  • 4x increase in Snowflake costs
  • Increasing use of dashboards
  • No resources for tuning or optimizing Snowflake workloads

Hyperscience began new initiatives to deliver dashboards and predictive models to their business users. This caused an increase in Snowflake usage that drove up costs. In fact, Snowflake costs increased 4-fold, an unsustainable rate. A traditional approach to solve this would have been to hire a data engineer (or several of them) to work on tuning and optimizing Snowflake in the hopes of reducing costs. While Hyperscience considered this, they ultimately chose to bring in Keebo instead of taking on expensive headcount that wasn’t directly involved in creating the analytics assets the business needed.

Erik Jones, Head of BI and Analytics
Hyperscience

The Keebo portal for Hyperscience shows a dramatic decrease in Snowflake credit usage.

Hyperscience saved credits

Rather than cute back on Snowflake to cut costs, Hyperscience has actually increased their query workload in the same time period.

Hyperscience queries executed

Even with the increased workload and Keebo cost-saving measures in place, query latency is holding steady.

Hyperscience query execution time.

After a 30-minute setup, Keebo showed results right away. Their Snowflake costs were reduced by about a half and this has held true for more than a year. The savings have allowed for two major strategic benefits. First, Hyperscience has not only increased their Snowflake workload, but added other data sources and analytics use cases. Second, Keebo has allowed the BI and analytics resources at Hyperscience the time and flexibility to focus on the analytics work that drives real value for the business.

As an example of both these strategic benefits, Hyperscience can now predict customer churn more effectively with an automated BI solution, rather than by using a collection of spreadsheets. This has helped customer success managers free their time from tedious data work. Keebo has helped not only reduce direct Snowflake costs, but allowed the team at Hyperscience to stay focused on delivering more value from their data.

Erik Jones, Head of BI and Analytics
Hyperscience

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