Mavens of Data

Maven Analytics

A weekly live show bringing you expert advice and practical tips from top data professionals. Hosted by Maven Analytics.

  1. 4D AGO

    Cleaning Dirty Data: You Can't Analyze What You Don't Trust (w/ Susan Walsh)

    Dirty data isn't just an annoyance; it's a hidden tax on your entire business. From dashboards no one trusts, to AI models trained on flawed inputs, to analysts spending hours fixing the same problems over and over again, poor data quality quietly drains time, money, and confidence. In this episode of Mavens of Data, we're joined by Susan Walsh (data quality expert and The Classification Guru!) to unpack what "dirty data" actually looks like in the real world. We talk through the most common types of dirty data, the downstream problems they cause across analytics, AI, and operations, and Susan's COAT framework for tackling data quality in a way that actually sticks. This isn't about perfection or endless clean-up projects; it's about building smarter processes, preventing problems at the source, and saving yourself (and your team) countless hours down the line. Whether you're an analyst, data engineer, analytics leader, or just someone tired of fixing the same broken fields every week, this conversation will change how you think about data quality. What You'll Learn: The most common (and most expensive) types of dirty data Why dirty data is a business process problem, not a tooling problem Susan's COAT framework and how to apply it in practice How small design choices (like dropdowns) can prevent massive downstream issues Real-world horror stories and how they could have been avoided   🤝 Follow Susan on LinkedIn!   Register for free to be part of the next live session: https://bit.ly/3XB3A8b   Follow us on Socials: LinkedIn YouTube Instagram (Mavens of Data) Instagram (Maven Analytics) TikTok Facebook Medium X/Twitter

    53 min
  2. FEB 27

    Winning With Data Science: Real Case Studies That Actually Moved the Needle (w/ Howard Friedman)

    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! What You'll Learn: We'll break down three high-impact, real-world transformations: 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. 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. 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.   🤝 Follow Howard on LinkedIn!   Register for free to be part of the next live session: https://bit.ly/3XB3A8b   Follow us on Socials: LinkedIn YouTube Instagram (Mavens of Data) Instagram (Maven Analytics) TikTok Facebook Medium X/Twitter

    55 min

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A weekly live show bringing you expert advice and practical tips from top data professionals. Hosted by Maven Analytics.

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