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.

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Most organizations are drowning in dashboards, KPIs, and visualizations, but starving for insights.

In this episode of Mavens of Data, we'll chat with Brent Dykes, Founder of AnalyticsHero and author of Effective Data Storytelling, to break down one of the biggest misconceptions in analytics: a chart is not a story, and a data point is not an insight. Whether you're a data scientist, business analyst, product manager, or analytics leader, this episode will reshape how you communicate with data. If you've ever wondered why your dashboards aren't driving decisions, this conversation will hit home.

• What actually qualifies as an insight

• How to distinguish reporting ("the what") from storytelling ("the why")

• Why answering "so what?" is the key to influence

• The role AI will play in generating insights and telling stories

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You've landed the role, built a few projects, maybe even launched a dashboard or a model, but how do you make sure your work gets noticed, adopted, and truly moves the needle?

In this live session with Dora Boussias, Founder at DoraB Global, we'll dive into the practical skills that transform you from "the person who built something cool" into a trusted, influential data professional.

This is about more than doing good technical work; it's about ensuring your work creates visibility, influence, and long-term career growth. Expect concrete advice, examples, and actionable takeaways you can implement today.

• How to build trust with business stakeholders, and how this is the foundation for influence.

• Quick wins that help you gain credibility in a new role.

• The difference between being seen as a strong contributor vs. a strategic partner, and how to make that shift.

• Collaborative approaches to negotiating for resources, scope, or recognition.

This session was part of our Open Campus event, which included 6 days of live expert sessions.

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The future of work is here, and it's powered by AI. But what does that mean for your career?

In this episode, Maven Analytics Founder Chris Dutton is diving deep into the future of analytics and what you can do to prepare for the rapidly changing landscape.

You'll learn how to leverage AI as a powerful partner, not a competitor, and discover a clear path to building a career that is resilient, adaptable, and ready for the future.

This session was part of our January Jumpstart event, which included 6 days of live expert sessions.

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How do we create analytics, machine learning, and AI that truly serve people?

In this episode, we'll hear from Thais Cooke about putting ethics, bias awareness, and customer centricity at the heart of every data initiative.

You'll leave with fresh insights on how to make analytics and AI sustainable, fair, and customer-focused.

• Building responsible analytics and AI strategies

• Detecting and mitigating bias in data and models

• Why creativity, business acumen, and communication skills are becoming even more vital

• Why companies would benefit if their AI focus were less on replacing people

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Thinking about transitioning into data analytics but don't come from a traditional STEM or computer science background?

In this episode of Mavens of Data, we'll hear from Monica Kay Royal, a data professional, educator, and career mentor, to unpack how effectively demonstrating transferable skills like curiosity, adaptability, communication, problem-solving, and attention to detail can set you apart in analytics.

Come learn how to turn your nontraditional experience into a data career

• The many flavors of data analyst roles — from highly technical-heavy positions to more business-oriented, strategic analyst roles.

• How to identify and articulate the skills you already have that hiring managers care about most.

• Why soft skills are becoming even more important as technical tools evolve.

• How to show confidence in interviews by "putting yourself in the role" when asking questions, and why it works.

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It's been a decade since Cole Nussbaumer Knaflic's Storytelling with Data became essential reading for anyone presenting insights visually. But the principles she teaches are timeless, and more relevant than ever.

In this show, we dive into the art and craft of data storytelling through a client "makeover" example: a before-and-after transformation of how data is presented and understood. Cole will share about what it means (and how!) to craft a narrative arc and create visuals that lead your audience on a journey.

If you've ever built a dashboard, presented findings, or struggled to make your insights resonate, this episode will inspire you to see your data not just as numbers.

• Why knowing your audience and context upfront changes everything

• How to choose the right type of graph for your story

• What not to include on a graph (and why simplicity is important)

• Using visual contrast and color intentionally to guide attention

Cole's newest book Storytelling with Data: Before and After shares 20 client makeovers. You can find it here!

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In this episode, we chat with Julia Bardmesser, a data and digital transformation leader with decades of experience guiding teams and organizations to real business impact and author of "From Data to Dollars".

Julia believes that if you want to grow in your career, you can't just focus on the tech. You need to ask:

• What am I building?

• How is it solving problems?

• Do I understand the business well enough to deliver better solutions?

• Am I articulating my work in a way that earns buy-in?

Julia shares what it means to "understand the why," how to connect your work to outcomes, and how to communicate value so your ideas gain traction.

Whether you're a data analyst, engineer, or leader, Julia's insights will help you think more strategically about the solutions you design and the career you're building.

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You can check out "From Data to Dollars" here: https://a.co/d/3yufPak

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Many data scientists and analytics professionals master the technical craft; coding, modeling, and optimizing. But making the leap from hands-on contributor to leader requires a whole new set of skills.

In this episode, we sit down with Brian Evergreen — global AI strategist and author of Autonomous Transformation — to explore how Fortune 10 AI leaders think differently, and how today's data professionals can start building that same mindset. Brian shares the seven leadership skills that help data experts grow into transformative leaders.

If you're a data scientist or analyst wondering what's next for your career, or how to lead with vision, this conversation is for you.

• How technical experts can evolve into strategists and value creators

• Why systems thinking is a hidden superpower

• How to shift from optimizing existing processes to creating entirely new value

• Why storytelling is a leadership skill every data professional needs

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When people think about data work, they often picture analytics pipelines or machine learning models. But two areas that often get overlooked are just as important for broadening your impact:

1. Business acumen — understanding markets, stakeholders, and how to become a trusted advisor.

2. Data products — navigating purchased datasets like Nielsen's Billboard ratings or syndicated consumer data.

In this episode, Solomon Kahn will explain both of these worlds.

From building trusted relationships to making decisions about buying data and what is available, Solomon will show why the most effective data professionals know the business of data from all different aspects.

• Why business acumen is a critical skill for data professionals (and how to develop it)

• How to move from being a technical contributor to a trusted advisor

• How purchased datasets like Nielsen Billboard ratings shape entire industries

• The economics of data as a product, and how to assess ROI before you buy

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