Case Study: MoneyLion saves hours weekly on analytics with Deepnote

MoneyLion saves 2 hours per analyst per week with Deepnote

MoneyLion, a consumer finance platform and subsidiary of Gen, faced challenges with its data analytics workflow. Their team was using local machines and JupyterHub, which resulted in unstable sessions, disconnections, and a lack of native AI assistance. This environment made analytics slow and sharing results with stakeholders a clunky, manual process. They sought a better notebook solution to improve efficiency and chose to implement Deepnote.

By adopting Deepnote, MoneyLion connected directly to Snowflake for a plug-and-play analytics experience. The platform's built-in AI assisted with text-to-SQL and data visualization, allowing analysts to create charts in seconds. They also used Deepnote to share results as live apps instead of static slides. This solution saved the team approximately two hours per analyst per week on chart setup and eliminated eight hours per month per headcount on platform maintenance, leading to faster, more reliable insights.

MoneyLion