Case Study: Spendflo achieves faster insights and self-serve analytics with Databrain

Why Spendflo Chose Databrain for Faster Insights

Spendflo, a SaaS procurement platform, faced challenges with its limited and unscalable analytics system as the company grew. Their original setup, based on MongoDB, could not meet the increasing demands from customers and internal teams for fast data insights. They began modernizing their data stack with Amazon Redshift but needed a unified BI tool to solve their analytics challenges.

They implemented Databrain to provide a single platform for both internal and customer-facing analytics. Databrain’s natural language features enabled self-serve reporting, which empowered customers to create their own reports and freed Spendflo's data team from ad-hoc requests. This solution saved an estimated six months of engineering effort and $300,000 in revenue by avoiding additional hiring, while also accelerating time to market for insights.

Spendflo

Ajay

Chief Technology Officer