Intuit's experimentation team significantly reduced experiment runtimes by more than 50% using Dash Enterprise and Python. This allowed them to build interactive apps that standardized the design and analysis of experiments across the organization, saving analysts time and increasing efficiency. The team created tools like a Sample Size Estimation App and Sequential AB Testing App, enabling faster analysis, early stopping, Bayesian inference, and more. These tools were adopted by over 500 users at Intuit, reducing the workload on analysts and improving the speed and accuracy of experimentation processes. The centralized, reusable apps also supported innovation and consistency in data analysis.

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