Case Study: Buildertrend achieves faster model deployment and 60% churn reduction with Dataiku

Buildertrend Maximizing Data Project Speed to Value

Buildertrend, a fast-growing construction project management software company, needed to speed up and scale its data-to-insights process while enabling cross-team collaboration to tackle business problems like customer churn and personalized messaging. After evaluating platforms, Buildertrend selected the Dataiku data science platform to bring agility, governance, and self-service capabilities to its analytics work.

With Dataiku, Buildertrend automated and operationalized its churn prediction and smart-messaging workflows—reducing model deployment time from three days to three hours and helping target a cohort that saw a 60% reduction in churn. Dataiku also let Buildertrend scale from thousands to millions of rows of data, automate weekly model reruns and notifications to customer service, integrate with Salesforce for “Next Best Action” messaging, and improve collaboration, versioning, and documentation across teams.

Buildertrend

Nathan Watson

President, Contemporary Analysis