Mavens of Data
A weekly live show bringing you expert advice and practical tips from top data professionals. Hosted by Maven Analytics.
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Breaking Into Data Analytics: Transferable Skills That Open Doors (w/ Monica Kay Royal)
01/23/2026
Breaking Into Data Analytics: Transferable Skills That Open Doors (w/ Monica Kay Royal)
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 , 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 What You'll Learn: 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. 🤝 Register for free to be part of the next live session: Follow us on Socials:
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Ten Years of Storytelling with Data: What Still Matters Most (w/ Cole Nussbaumer Knaflic)
01/16/2026
Ten Years of Storytelling with Data: What Still Matters Most (w/ Cole Nussbaumer Knaflic)
It’s been a decade since ’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. What You'll Learn: 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. 🤝 Register for free to be part of the next live session: Follow us on Socials:
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Building With Purpose: How to Accelerate Your Data Career (w/ Julia Bardmesser)
01/09/2026
Building With Purpose: How to Accelerate Your Data Career (w/ Julia Bardmesser)
In this episode, we chat with , 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. 🤝 You can check out “From Data to Dollars” here: Register for free to be part of the next live session: Follow us on Socials:
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Going from Data Practitioner to Leader (w/ Brian Evergreen)
12/19/2025
Going from Data Practitioner to Leader (w/ Brian Evergreen)
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 — 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. What You'll Learn: 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 🤝 Register for free to be part of the next live session: Follow us on Socials:
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Business Acumen & the Business of Data (w/ Solomon Kahn)
12/12/2025
Business Acumen & the Business of Data (w/ Solomon Kahn)
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: Business acumen — understanding markets, stakeholders, and how to become a trusted advisor. Data products — navigating purchased datasets like Nielsen’s Billboard ratings or syndicated consumer data. In this episode, 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. What You'll Learn: 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 🤝 Register for free to be part of the next live session: Follow us on Socials:
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The Data Ecosystem: Why the Big Picture Matters (w/ Dylan Anderson)
12/05/2025
The Data Ecosystem: Why the Big Picture Matters (w/ Dylan Anderson)
Too often, data conversations get stuck in silos: tools, models, or dashboards in isolation. But data only delivers value when the entire ecosystem works together. In this episode, , Head of Data Strategy at Profusion, joins us to break down what it really means to think holistically about data. We’ll explore how business strategy, organizational design, governance, tech debt, and engineering all connect, and why ignoring these links creates inefficiency and frustration. Dylan also shares how he develops “expert generalists” on his team, building data professionals who can see beyond their technical skills and drive real business outcomes. Whether you’re leading a team, looking for your next role, or just trying to elevate your impact, this conversation will help you zoom out and think like a strategist, not just a technologist. What You'll Learn: Why treating data topics in isolation leads to hidden inefficiencies and wasted effort How to align data strategy with business goals (and avoid “models for models’ sake”) Practical ways to assess if a company is taking a holistic approach before you join How to grow as a data professional by becoming an “expert generalist” 🤝 Register for free to be part of the next live session: Follow us on Socials:
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Data Isn’t the First Hire: Understanding How Companies Build (and Struggle) With Analytics (w/ Nagim Ashufta)
11/28/2025
Data Isn’t the First Hire: Understanding How Companies Build (and Struggle) With Analytics (w/ Nagim Ashufta)
In this conversation with , Founder of DRIVA GmbH, we dig into what it really looks like when organizations try to get serious about data. Nagim started his own agency to help companies accelerate their data capabilities, and he’s seen the same challenges come up again and again. For those in analytics seeking to understand the realities of a data role, this is a great view into the challenges that organizations face, and how you can be prepared. If you’re an analytics professional, this episode will give you a practical look at the landscape, the pitfalls, and the messy-but-important role you play in helping data actually deliver. What You'll Learn: Why data is almost never the first role companies hire for, and what this means The common patterns across organizations that struggle with analytics maturity Why “everyone is a data steward” and what stewardship really means in practice 🤝 Register for free to be part of the next live session: Follow us on Socials:
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Vector DBs, Knowledge Graphs, Data Fabric, and Why Process Still Rules (w/ Terry Dorsey)
11/21/2025
Vector DBs, Knowledge Graphs, Data Fabric, and Why Process Still Rules (w/ Terry Dorsey)
In this episode, we’re joined by Terry Dorsey, Senior Data Architect & Evangelist at Denodo, to unpack the conceptual differences between terms like data fabrics, vector databases, and knowledge graphs, and remind you not to forget about the importance of structured data in this new AI-native world! What You'll Learn: The difference between data fabrics, vector databases, and knowledge graphs — and the pros and cons Why organizing and managing data is still the hardest part of any AI project (and how process design plays a critical role) Why structured data and schemas are still crucial in the age of LLMs and embeddings How knowledge graphs help model context, relationships, and “episodic memory” more completely than other approaches If you’ve ever wondered about different data and AI terms, here’s a great glossary to check out from Denodo: 🤝 Register for free to be part of the next live session: Follow us on Socials:
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Why Data Scientists Can Make Great Algorithmic Traders (w/ Jason Strimpel)
11/14/2025
Why Data Scientists Can Make Great Algorithmic Traders (w/ Jason Strimpel)
Data scientists have the skills to model complex systems, work with messy data, and uncover hidden patterns. Quant scientists do all of that, but with the added thrill (and pressure) of putting real money on the line. In this episode, we sit down with , Founder of PyQuant News and Co-founder of Quant Science, to explore why data scientists are uniquely positioned to excel in algorithmic trading. Whether you’re a data scientist curious about finance, or simply interested in seeing your models have a more personal impact, this show offers a fresh perspective on how your skills can translate into the world of algorithmic trading. What You'll Learn: How your Python, stats, and modeling skills transfer directly into the markets The mindset shifts required Why reproducibility, auditability, and backtesting discipline are the data scientist’s secret weapon Common pitfalls when transitioning into quant roles, and how to avoid them The tools and workflows Jason recommends to get started fast 🤝 Register for free to be part of the next live session: Follow us on Socials:
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Thriving in BI: Career Growth, Teaching, and Team Culture (w/ Sean Chandler)
11/07/2025
Thriving in BI: Career Growth, Teaching, and Team Culture (w/ Sean Chandler)
In this show, we’re joined by , Director of BI at CenterWell Home Health, to explore what it really means to thrive in BI today. Sean shares his personal journey, including his move into teaching, and offers practical insights on building a career in BI, self-learning for advancement, and fostering a strong partnership between BI and data science teams. Whether you're an aspiring BI analyst, a data scientist aiming to improve collaboration, or a career changer eyeing the BI space, this episode is for you. What You'll Learn: How to successfully transition from other roles into BI, and how to know if it’s the right fit for you What good collaboration between BI and data science actually looks like, and how to recognize when it’s broken How self-taught skills can accelerate your BI career, even without a formal background 🤝 Register for free to be part of the next live session: Follow us on Socials:
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Beyond the Code: Soft Skills in Data Are Now Strategic (w/ Felicia Newhouse)
10/17/2025
Beyond the Code: Soft Skills in Data Are Now Strategic (w/ Felicia Newhouse)
AI isn’t just accelerating productivity, it’s reshaping how we structure power, make decisions, and define what “value” means in our organizations. In this episode, — a data leader, AI strategist, and advocate for ethical, human-centered innovation — brings deep insight into how power structures in business are being reimagined in the age of AI. We dive into why so-called soft skills like communication, critical thinking, and emotional intelligence are becoming core differentiators in data and AI teams. With research showing that companies deploying AI without leadership transformation risk ethical blind spots and cultural misalignment, we ask: What kind of leaders do we need now? And how can data professionals step into that shift? What You'll Learn: Why soft skills are no longer optional in data and AI roles How leadership, ethics, and communication shape responsible AI outcomes Real-world examples of companies gaining trust and performance by elevating human-centered skills 🤝 Register for free to be part of the next live session: Follow us on Socials:
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Data Scientist vs Data Analyst: Choosing the Right Path (w/ Avery Smith)
10/10/2025
Data Scientist vs Data Analyst: Choosing the Right Path (w/ Avery Smith)
If you’re thinking about Data Analyst or Data Scientist career paths, then this one is for you! In this episode with Data Career Jumpstart Founder , you’ll learn about the differences between Analyst and Data Scientist career paths, and hear some practical advice to help you on your journey. You’ll leave with a better understanding of different data roles, which might be the better fit for you, and a concrete roadmap for taking action and accelerating your career. What You'll Learn: Key differences between Data Analyst and Data Science roles The critical tools to focus on to land a job in either role A step by step playbook for building the skills you need to succeed This session was part of our OPEN CAMPUS week in October, which included 6 days of live expert sessions. Register for free to be part of the next live session: Follow us on Socials:
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What It’s Really Like Being a CDO in Finance (w/ Sia Zahedi)
10/03/2025
What It’s Really Like Being a CDO in Finance (w/ Sia Zahedi)
From launching AI products to modernizing legacy data stacks, we’re going behind the scenes of data-driven transformation in financial remittance. In this episode, we sit down with , former CDO at a global financial remittance company, to get a candid look at the projects, challenges, and decisions that define data leadership in finance. If you’ve ever wondered what it’s like to lead data strategy at a global financial company, this one is for you. What You'll Learn: What the day-to-day of a CDO looks like Real-world use cases for AI in financial services The difference between launching AI prototypes and real products Career advice for aspiring CDOs and senior data leaders 🤝 Register for free to be part of the next live session: Follow us on Socials:
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Inside the Mind of an Exponential Athlete: Data and High Performance (w/ Ken Jee)
09/26/2025
Inside the Mind of an Exponential Athlete: Data and High Performance (w/ Ken Jee)
has spent a decade in sports analytics, working at the intersection of data science and athlete performance. Now, he’s building , a podcast dedicated to exploring what makes athletes reach their highest potential. In this show, Ken shares: His 10-year journey in sports analytics and the lessons data can, and can't teach us about performance. How his background in data science set him up to successfully launch The Exponential Athlete. The limits of analytics — why diagnosis is easy, but decision-making is complex. How mental visualization (seeing success before it happens) plays a crucial role in athletic and personal excellence. The intersection of training philosophy, psychology, and data in shaping elite performers. Whether you’re passionate about sports, data science, entrepreneurship, or personal growth, this episode offers practical insights you can apply immediately. 🤝 Register for free to be part of the next live session: Follow us on Socials:
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Analytics With Impact: How to Break the Cycle and Drive Real Results (w/ Ollie Hughes)
09/19/2025
Analytics With Impact: How to Break the Cycle and Drive Real Results (w/ Ollie Hughes)
Too many dashboards. Endless ad-hoc questions. Analytics teams often get trapped supporting the business, without driving it forward. In this show, , CEO of Count, will show you how to break free. Based on real-world case studies and hard-won experience, Ollie will walk us through: The common traps analytics teams fall into — and why good intentions often lead to low impact How to shift from "answering questions" to "solving business problems" Why operational clarity, not just better data, is the key to better outcomes. Real use cases and strategies for building high-leverage analytics inside your organization. If you're ready to move beyond dashboards and truly drive business success, this is the show you can’t afford to miss. 🤝 Register for free to be part of the next live session: Follow us on Socials:
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Breaking into Data Science in 2025 (w/ Chris Bruehl)
09/12/2025
Breaking into Data Science in 2025 (w/ Chris Bruehl)
In this episode, we're joined by Maven’s own to unpack the 2025 data science landscape and explore what it really takes to break into the field today. If you're curious about what data scientists actually do — and how to become one — you won’t want to miss this! What You'll Learn: How the data scientist role compares to other data careers The essential skills you need to land a data science job in 2025 Smart strategies to position yourself before applying 🤝 Register for free to be part of the next live session: Follow us on Socials:
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LLMs in the Trenches: What Breaks and Why (w/ Andriy Burkov)
09/05/2025
LLMs in the Trenches: What Breaks and Why (w/ Andriy Burkov)
LLMs seem like a hot solution now, until you try deploying one. In this episode, , machine learning expert and author of The Hundred-Page Machine Learning Book, joins us for a grounded, sometimes blunt conversation about why many LLM applications fail. We talk about sentiment analysis, difficulty with taxonomy, agents getting tripped up on formatting, and why MCP might not solve your problems. If you’re tired of the hype and want to understand the real state of applied LLMs, this episode delivers. What You'll Learn: What is often misunderstood about LLMs The reliability of sentiment analysis How can we make agents more resilient? 📚 Check out Andriy’s books on machine learning and LLMs: 🤝 Register for free to be part of the next live session: Follow us on Socials:
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Making Smart Smarter: Decision Intelligence in Action (w/ Joe Dery)
08/29/2025
Making Smart Smarter: Decision Intelligence in Action (w/ Joe Dery)
In this episode, we sit down with , Vice President of Customer Success at Aera Technology, to explore a concept that's shifting how organizations think about analytics: Decision Intelligence. We unpack what decision intelligence really means (hint: it’s not just another buzzword), why some data scientists still resist it, and how this discipline helps surface causal insights — not just correlations. Joe brings firsthand use cases from the field, showing how DI is helping organizations not only analyze what’s happening but also decide what to do about it. Whether you're a data scientist, product manager, or exec who wants to move from dashboards to decisions, this one’s for you. What You'll Learn: What decision intelligence is — and what it isn’t Why some in the data space push back against it How DI gets you closer to causality (not just correlation) Real-world use cases where DI created business impact Why decision metadata is the secret sauce for long-term success Register for free to be part of the next live session: Follow us on Socials:
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Disrupting Data Governance and The AI Revolution (w/ Laura Madsen)
08/22/2025
Disrupting Data Governance and The AI Revolution (w/ Laura Madsen)
AI is moving fast, but are organizations prepared to keep up? In this episode, data professional joins us to unpack why most companies are lagging behind, how tech debt is holding businesses back, and why knowledge graphs are the way forward. Join us for a bold conversation on why the AI revolution needs better data governance, not just bigger models. What You'll Learn: Who’s thriving in disruption, which industries embrace AI, and why others are stuck The hidden cost of tech debt and why most organizations avoid real transformation The power of knowledge graphs, and why they’re the key to making AI work at scale What AI still can’t do for us, and the gaps we need to fill with human expertise Register for free to be part of the next live session: Follow us on Socials:
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Data Literacy in the Digital Age (w/ Kathy Rondon)
08/15/2025
Data Literacy in the Digital Age (w/ Kathy Rondon)
We live in a world where people are concerned about social media tracking their data—but at the same time, willingly send their DNA to companies like 23andMe. Why does this happen? What do companies actually do with our data? And how can we, as individuals, become more data-literate to make informed decisions? In this episode, we sit down with , author of “We The People: A Playbook for Data Ethics in a Democratic Society,” data expert and advocate for data literacy. If you've ever wondered how to take control of your digital footprint, make sense of statistics, or separate fact from fiction in a world full of data, this episode is for you. What You'll Learn: How companies collect and use your data—sometimes in ways you wouldn't expect Why do we trust some organizations with our most personal data while fearing others The power of statistics and how understanding the basics would help everyone better navigate news, research, and even politics 📚 Be sure to check out Kathy's book: Register for free to be part of the next live session: Follow us on Socials:
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Beyond the Basics: Key Statistical Methods and Career Strategies for Data Analysts (w/ Josh Starmer)
08/08/2025
Beyond the Basics: Key Statistical Methods and Career Strategies for Data Analysts (w/ Josh Starmer)
If you were only going to learn a few statistical techniques as an analyst, where should you focus? Josh Starmer, Founder of StatQuest, shares how learning these skills can boost your career. We dive into why linear regression is the bedrock for advanced statistical tests like the t-test, and why understanding Principal Component Analysis (PCA) can give you an edge in working with complex datasets. But it’s not just about the math—we also explore how expanding your skill set beyond the numbers can make you a stronger candidate for promotions and new roles. From building a diverse portfolio of skills to positioning yourself effectively in quarterly reviews, we discuss strategies to ensure you stand out in your organization and the broader job market. Whether you’re early in your data career or looking to sharpen your expertise, this episode gives you actionable insights to grow both technically and professionally. What You'll Learn: Core statistical methods every analyst should know, including why linear regression is the foundation for advanced analytics How learning tangential skills like Principal Component Analysis (PCA) can set you apart in the field Positioning yourself for success in quarterly reviews and career conversations Be sure to check out Josh’s and his ! Register for free to be part of the next live session: Follow us on Socials:
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Transitioning to Analytics when You're Established, Experienced, and Possibly Well-Paid (w/ Andrew Madson)
08/01/2025
Transitioning to Analytics when You're Established, Experienced, and Possibly Well-Paid (w/ Andrew Madson)
Thinking about transitioning into analytics but worried about starting over? Andrew Madson has been in your shoes. Once a compliance executive, Andrew successfully pivoted into analytics and now is a Professor of analytics at five universities. In this episode, we dive deep into what it really takes to make a career shift when you’re already successful. Don't miss this conversation packed with real insights for professionals considering a move into analytics! What You'll Learn: How to handle the fear of leaving a high-paying career for something new Why transitioning is different from starting fresh—and how to use your experience as a superpower Bootcamp vs. Master’s—what’s worth your time and money? The must-have skills and topics when evaluating an analytics education To hear even more from Andrew, you can check out his Register for free to be part of the next live session: Follow us on Socials:
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Cinematic Techniques for Data Storytelling (w/ Angelica Lo Duca) | Mavens of Data
07/25/2025
Cinematic Techniques for Data Storytelling (w/ Angelica Lo Duca) | Mavens of Data
What if your next data presentation felt less like a spreadsheet and more like a blockbuster movie? In this episode, we’re joined by Angelica Lo Duca, Researcher at IIT-CNR and a master of transforming numbers into narratives, to explore the intersection of cinematography and data storytelling. Learn how to extract a “hero” from your data, structure your analysis like a compelling story, and tailor your presentations for different audiences to ensure maximum impact. Angelica reveals how the techniques filmmakers use—focusing on key characters, building tension, and delivering climactic resolutions—can be applied to data storytelling. She’ll also discuss the role of the data storyteller as a guide and how to strike a balance between clarity and creativity. Whether you’re presenting to executives, stakeholders, or teammates, this episode will help you level up your communication skills and make your insights unforgettable. What You'll Learn: How to identify and extract a “hero” from your data to drive a compelling narrative. Cinematic techniques that turn complex analyses into engaging stories. How to tailor your data presentation to resonate with different audiences. The responsibilities and creative power of the data storyteller. Angelica is the author of Become a Great Storyteller: Learn How You Can Drive Change with Data. Find it ! Register for free to be part of the next live session: Follow us on Socials:
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Leveling Up: Analytics in the Gaming Industry (w/ Carly Taylor)
07/18/2025
Leveling Up: Analytics in the Gaming Industry (w/ Carly Taylor)
In this episode, we’ll chat with Carly Taylor, Field CTO of Gaming at Databricks, to explore the fascinating world of data analytics in the gaming industry, where every click, quest, and respawn generates insights that shape the games we love. Carly shares her experience working in gaming to help harness data for better gameplay and smarter monetization. She’ll break down what analysts, data scientists, and sales engineers actually do in gaming and how teams turn raw data into real-time decisions. Whether you’re a player, a data nerd, or someone who wants to turn both into a career, this episode is your walkthrough guide to data in gaming. What You'll Learn: How gaming companies use data to optimize player experience and business outcomes What it’s like to work in a field engineering or customer-facing analyst role The tools, KPIs, and best practices for success How to break into a data role in gaming and what skills to focus on Stay updated with Carly’s latest by Register for free to be part of the next live session: Follow us on Socials:
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The Art of Data Enrichment: Lessons from the Frontlines (w/ Doug Needham)
07/11/2025
The Art of Data Enrichment: Lessons from the Frontlines (w/ Doug Needham)
What does it take to turn raw data into actionable insights, especially in high-stakes environments? In this compelling episode, we sit down with , author of Data Structure Synthesis and The Enrichment Game. From his fascinating work updating data virtually during Desert Storm to insights on leveraging third-party data for enterprise decisions, Doug brings a wealth of real-world stories and practical advice to this conversation. You’ll learn how to think critically about your data strategy, navigate complex enterprise data ecosystems, and see data as more than just numbers on a screen—it’s a resource with untapped potential. Whether you’re a data professional, analyst, or someone just starting to explore the world of analytics, this episode is packed with lessons on innovation, efficiency, and making data work smarter, not harder. What You'll Learn: How data enrichment unlocks the full potential of data. The role of data structure synthesis in solving complex enterprise challenges. The realities of working with data in a corporate setting. Doug is also the author of The Enrichment Game - A Story About Making Data Powerful: find it ! Register for free to be part of the next live session: Follow us on Socials:
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Key Skills Every Data Scientist Must Have (w/ Chris Bruehl & Kimberly Fessel)
07/04/2025
Key Skills Every Data Scientist Must Have (w/ Chris Bruehl & Kimberly Fessel)
If you are interested in a career in Data Science, this one is for you! In this episode with (Dr. Kim Data) & Maven’s own , you’ll learn about the most important skills Data Scientists need, and where you should be focusing your energy. You’ll walk away with a solid understanding of the Data Scientist role, core responsibilities, tools of the trade, and a concrete roadmap you can follow to start building skills immediately. What You'll Learn: The technical skills you need for a Data Science career Complementary soft skills that make a difference How to prioritize your learning to make the most of your effort This session was part of our OPEN CAMPUS week in October, which included 6 days of live expert sessions. Register for free to be part of the next live session: Follow us on Socials:
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The Future of Work- When AI Becomes Your Coworker (w/ Sadie St. Lawrence)
06/27/2025
The Future of Work- When AI Becomes Your Coworker (w/ Sadie St. Lawrence)
What happens when AI becomes your coworker, not your replacement? In this episode, we sit down with , founder of HMCI, to explore the rapidly evolving future of work, where AI isn't just a tool, but a teammate. We dig into how blue-collar and white-collar jobs will be shifting as AI and automation move from the periphery into our daily workflows. From analysts to factory floors, from dashboards to shop floors, what will it actually feel like to work alongside intelligent machines? Sadie also shares the deeply personal story of her 18-month journey exiting Women in Data, what she learned in building a global community, and how she’s now thinking about the next wave of human + AI collaboration. If you're wondering what your job will look like in 5 years, this one's for you. What You'll Learn: What it really means to work with AI as a teammate How analysts can stay relevant in the age of automation The different futures ahead for blue- vs. white-collar roles How Sadie built, scaled, and thoughtfully exited Women in Data What makes a career resilient in an AI-driven economy Register for free to be part of the next live session: Follow us on Socials:
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Building More Accurate, Trustworthy AI Agents (w/ Stephanie Valarezo)
06/20/2025
Building More Accurate, Trustworthy AI Agents (w/ Stephanie Valarezo)
As AI agents become more powerful and widely adopted, enterprises face a new challenge: how to build them on a foundation of trustworthy, AI-ready data that includes both structured and unstructured data. Unstructured data introduces new complexity for organizations already contending with large and growing volumes of data that is often distributed and disconnected, and from more information sources. In this episode, , Program Director, Product, from IBM Data Integration, shares how organizations can simplify and scale the integration, access and governance of unstructured and structured data. Explore how IBM is simplifying the enterprise data stack by empowering teams to integrate structured and unstructured data, using batch, real-time streaming, or replication techniques, while extending governance beyond the data layer to the AI agents themselves. Whether you're modernizing legacy infrastructure, accelerating agent development, or building robust governance strategies, this session will give you a blueprint to: Unlock the value of unstructured data for enterprise-grade AI Accelerate data intelligence through built-in observability and governance Simplify your tech stack while improving trust and traceability in AI outputs #sponsored Register for free to be part of the next live session: Follow us on Socials:
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Trends, Community, and Standing Out as an Analyst in 2025 (w/ Dustin Schimek)
06/13/2025
Trends, Community, and Standing Out as an Analyst in 2025 (w/ Dustin Schimek)
The analytics industry is evolving faster than ever, and staying ahead requires more than technical expertise—it takes community building, internal advocacy, and the ability to drive impactful projects. In this episode, , Data Fluency Program Manager at MedStar Health, discusses the state of analytics in 2025. We explore what analysts are working on today, the importance of internal evangelism, and how to spearhead new projects and get to proof of concept (POC) quickly. Dustin also shares insights on standout traits for analysts and why community is at the heart of analytics success. If you’re looking to thrive in analytics and stay at the forefront of the industry, this show is for you! What You'll Learn: Key trends shaping the analytics industry in 2025 The role of community building and internal evangelism in driving analytics success How to accelerate proof of concept (POC) for new analytics projects Common themes that make analysts stand out in today’s industry Register for free to be part of the next live session: Follow us on Socials:
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Business 101 for Data Professionals (w/ Jordan Morrow)
06/06/2025
Business 101 for Data Professionals (w/ Jordan Morrow)
Data professionals often excel at technical skills but struggle to connect their work to broader business goals. In this show, we’re joined by Senior VP of Data and AI Transformation at AgileOne and author of Business 101 for the Data Professional, to discuss bridging the gap between data and strategy. Jordan offers practical advice on developing business acumen, aligning data work with organizational goals, and communicating effectively with stakeholders. Whether you’re a data scientist, analyst, or aspiring leader, this conversation will help you unlock the full potential of your data career. What You'll Learn: The essential business skills every data professional needs How to align data projects with organizational goals Strategies for effective communication with non-technical stakeholders Common pitfalls data professionals face when navigating business challenges—and how to avoid them Actionable tips to become a more strategic, business-savvy data professional Register for free to be part of the next live session: Follow us on Socials:
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