Winner of the 'Embedded Analytics Solution of the Year 2024' at the Data Breakthrough Awards.

Palm Technologies

Palm Technologies

"Great product and exceptional customer support. It's a valuable addition to our toolkit."

Jason Southin

Full Stack Engineer

Project Overview

The Palm team were looking to build a new embedded reporting tool for enterprise treasury teams. By doing so, their users would be able to quickly interrogate what happened across their banks and share reports with the wider Finance teams.

Their existing customer-facing analytics was built using charting libraries (re-charts and Material UI). However, they were looking for a solution to help them deliver 'self-serve' functionality to users (the ability for end users to create personalised dashboards), without taking on the burden of building and maintaining it in-house.

How Palm chose Embeddable

Palm discovered Embeddable via a Google search and after speaking to the team, identified that it was "the closest technology/solution to our problem." The Embeddable product and vision was stronger than both legacy BI tools with embedded analytics add-ons and new players.

Ultimately, the top reasons driving their ultimate decision to work with Embeddable were:

  1. The charts and dashboards load lightning-fast for their users
  2. The components are fully customisable
  3. The launch of a feature that allows their customers to personalise their own dashboards

Palm's experience with Embeddable

We spoke to Jason, a full-stack engineer at Palm, to get his feedback on working with Embeddable. He said: "Great product and exceptional customer support. It's a valuable addition to our toolkit." Moreover, he noted that "it has added a valuable feature to our customers and a new technology for our team to build with!"

Palm's Bespoke Analytics Experience

About Palm

Palm is the Treasury OS thathelps companies to understand and free up their operational cash. They provideautomated workflows for forecasting and cash movement, along with enterprisegrade security and controls.

Connected to

Postgres & BigQuery

Tech Stack

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