How SpotDraft uses Databrain to Power Global Customer Analytics

• Spotdraft initially utilized Looker for their analytics needs but faced several significant challenges.
• Looker lacked real-time access to data as it was always stale by one day due to the connection to an intermediary Google Sheet.
• Secondly, Looker’s U I was clunky and didn’t provide a native embedded analytics experience that matched Spotdraft's application.
• This disconnect required customers to navigate to an external link for reporting,disrupting the seamless user experience Spotdraft aimed to deliver.

In their search for a better BI tool, Jaskaran found Databrain, which aligned perfectly with Spotdraft's needs by offering a white-labeled analytics experience that securely unlocks insights for customers.

White-labeled Experience: Databrain's no-code studio allowed non-technical users, like product managers, to build custom dashboards and tailor analytics.It matched Spotdraft's Figma designs, making it seem as if the analytics were built in-house.

Engineered for Embedding: Databrain solved the engineering challenges of embedding. It offered a metric store for creating and maintaining client metrics & KPIs. Its multi-tenancy and SDK features let Spotdraft's team embed analytics seamlessly with a single line of code.

Enterprise-Grade Guardrails: Databrain offered enterprise-level security features like roles and permissions, column and row masking, and a self-hosted version deployable globally. This was crucial for Spotdraft, which needed to handle sensitive contract data with minimal latency and fast analytics

• Time to Market: With in a month , Spotdraft replaced Looker and fully deployed Databrain.
• White-labeled Experience: Dashboards tailored to client needs can be created and embedded with in a day, matching Spotdraft's aesthetics.
• Cost-saving: Spotdraft saved over $300k and three quarters of engineering effort by leveraging Databrain.