Bringing Fraud and ROI Insights Into Every Leasing Decision
Snappt, a rental applicant trust platform, used Databricks AI/BI to embed self-service analytics dashboards directly into its product, launching production-ready reporting in about a week. Built on Databricks SQL and Unity Catalog with row-level security, the embedded dashboards give hundreds of property admins real-time visibility into fraud rates, aggregated applicant insights and bad-debt risk, correlating with a roughly 30% higher retention rate for feature-activated accounts.
Overview
Snappt, a rental applicant trust platform, used Databricks AI/BI to embed self-service analytics dashboards directly into its product, launching production-ready reporting in about a week. Built on Databricks SQL and Unity Catalog with row-level security, the embedded dashboards give hundreds of property admins real-time visibility into fraud rates, aggregated applicant insights and bad-debt risk, correlating with a roughly 30% higher retention rate for feature-activated accounts.
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Inspect the highlighted sourceThe challenge
Snappt's customers wanted richer analytics (fraud trends, aggregated insights, ROI proof), but competing roadmap priorities, limited engineering cycles and Tableau's per-user licensing costs meant Snappt couldn't justify building a full self-service analytics solution; manual reporting via internal Tableau dashboards was time-consuming for the analytics team and frustrating for customers.
The solution
Snappt used Databricks AI/BI to embed dashboards directly into its application, authorizing thousands of end users through a single integration while enforcing strict row-level security so each property or admin only saw permitted data. The dashboards run on Databricks SQL against data in Unity Catalog, avoiding data movement or extra load on production databases, with Unity Catalog and Git integration providing governance aligned to Snappt's SOC-compliant development process.
Reported business value
Snappt launched production-ready embedded reporting in about a week, enabling close to 200 of roughly 850 admin users on the new dashboards, and found that customers who activate newer features experience a roughly 30% improvement in retention compared with those who do not.
Sources
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