In this episode of Mavens of Data, we sit down with Howard Friedman, author of “Winning with Data Science”, educator, and practitioner, who has spent years helping organizations turn messy data problems into measurable business wins.

We explore the models and decision frameworks used to identify where data science can create the biggest lift inside an organization, from data infrastructure and modeling to reporting, training, and software validation.

If you’ve ever wondered what effective data science looks like in the real world, this episode is your playbook!

We’ll break down three high-impact, real-world transformations:

1. Site Selection Modeling That Eliminated Costly Mistakes
   How one company improved its revenue forecasts and stopped expensive cannibalization across its retail locations. Howard will walk through what went wrong, how the right product requirements were defined, and what factors were the turning point in improving the forecasts.

2. Loyalty Program Analytics That Drove Double-Digit Growth
   1M+ loyalty members, but the organization wasn’t sure how to monetize them. Learn how cross-functional collaboration and analysis led to targeted offers, higher engagement, and the reactivation of 50,000+ dormant accounts.

3. LLM Automation in Healthcare - Cutting Documentation Time in Half
   Howare will tell us about a machine-learning use case at one healthcare company reduced documentation time by 2.5X while maintaining 97% accuracy, freeing clinicians to focus on patients, not forms.

These case studies highlight how data science becomes a profit center, not just a technical function.

See you there!