
Spendflo was experiencing rapid growth, and it became clear that their original analytics system was too limited. It couldn't scale to meet increasing demands from customers and internal teams who required fast access to data insights. The scattered nature of the data in MongoDB added to the issue, demonstrating that the old system was inadequate for the company's growing needs.
This led them to take the first step in adopting a modern data stack by investing in Amazon Redshift and modeling the data for more efficient analysis
Spendflo sought a single tool that could handle both their internal analytics and customer-facing analytics use case. They evaluated several BI tools in the market, all of which had similar features for data visualization and sharing. However, Databrain stood out for two main reasons:

We were stuck in an endless loop of handling adhoc requests and faced frustration from customers when we could not deliver their insights on time"

Spendflo is an AI-native procurement platform built to simplify how modern companies buy. We help procurement teams eliminate bottlenecks, optimize spend, and make every purchase decision count. Our platform automates intake-to-procure workflows, centralizes vendor and contract management, and simplifies security. With AI-driven insights and automated intake, Spendflo enables teams to move faster while staying in control.Trusted by fast-growing and enterprise companies, Spendflo delivers streamlined procurement, clearer visibility, and real business impact at scale.

Spendflo is an AI-native procurement platform built to simplify how modern companies buy. We help procurement teams eliminate bottlenecks, optimize spend, and make every purchase decision count. Our platform automates intake-to-procure workflows, centralizes vendor and contract management, and simplifies security. With AI-driven insights and automated intake, Spendflo enables teams to move faster while staying in control.Trusted by fast-growing and enterprise companies, Spendflo delivers streamlined procurement, clearer visibility, and real business impact at scale.
Spendflo was experiencing rapid growth, and it became clear that their original analytics system was too limited. It couldn't scale to meet increasing demands from customers and internal teams who required fast access to data insights. The scattered nature of the data in MongoDB added to the issue, demonstrating that the old system was inadequate for the company's growing needs.
This led them to take the first step in adopting a modern data stack by investing in Amazon Redshift and modeling the data for more efficient analysis
Spendflo sought a single tool that could handle both their internal analytics and customer-facing analytics use case. They evaluated several BI tools in the market, all of which had similar features for data visualization and sharing. However, Databrain stood out for two main reasons:

We were stuck in an endless loop of handling adhoc requests and faced frustration from customers when we could not deliver their insights on time"
Get it touch with us and see how Databrain can take your customer-facing analytics to the next level.
