How SpotDraft uses Databrain to power global customer analytics

The Problem

Looker wasn’t real-time & lacked customizations.

• 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.

"Leaving the app environment for an external link caused anxiety and potential infosec issues. Our customers had to switch UIs to find insights, disrupting the seamless experience we aimed to deliver.” - Jaskaran, Product Manager @ Spotdraft

The Solution:

A truly white-labeled BI tool engineered for Embedding.

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.

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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.

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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.

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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.