Case Study: Canadian Imperial Bank of Commerce achieves ML-powered quant analytics with Plotly Dash Enterprise

CIBC accelerates ML-powered quant analytics with Plotly Dash Enterprise

The Canadian Imperial Bank of Commerce (CIBC) needed to reduce friction and time-to-insight for its Quantitative Solutions group. The team sought a way to move beyond static spreadsheets and difficult-to-customize BI solutions to rapidly build and deploy custom interactive analytics applications powered by machine learning models. They turned to vendor Plotly and its Dash Enterprise platform for a solution.

Using Plotly's Dash Enterprise, CIBC's quant analysts were able to quickly develop and deploy production-grade data applications that integrated with their Databricks data platform. This solution enabled sales and trading desk associates to gain deeper, actionable insights into markets and clients. The results included significant indirect cost savings, reduced dependence on IT, and the ability for the Quantitative Solutions group to rapidly turn creative ideas into valuable tools used across multiple teams and jurisdictions.

Canadian Imperial Bank of Commerce (cibc)