Member Learning Resource

DAMA-MN Chapter Meeting Recordings

Explore DAMA-MN chapter meeting recordings featuring recognized leaders, practitioners, authors, and experts across data governance, data quality, data architecture, artificial intelligence, analytics, ethics, privacy, metadata, semantic standards, and enterprise data strategy.

Recordings are provided as a DAMA-MN member learning benefit. Speaker materials, slide decks, and supplemental files are shared when available and when permission has been granted.

Member Access Notice

DAMA-MN chapter meeting recordings are intended for active DAMA-MN members. Please do not publicly repost recording links. If a colleague would benefit from these sessions, invite them to join DAMA-MN and participate in our professional learning community.

DAMA Wheel

12-Week Learning Series

Trip Around the DAMA Wheel

This 12-week series provides an overview of each slice of the DAMA Wheel. Each session introduces foundational concepts, common terminology, practical responsibilities, and real-world guidance for data management professionals.

What each session covers

✓ Key terminology
✓ Basic concepts
✓ Organizational roles and responsibilities
✓ Associated activities
✓ Common metrics to measure performance
✓ Real-world tips and best practices

Audience

Open to anyone. You can attend the entire series or individual sessions. This is a valuable opportunity for students, new practitioners, leaders, and anyone seeking to increase their data literacy across one or more data management disciplines. It is also a helpful overview before beginning CDMP exam preparation.

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DAMA Wheel

Weekly Recording Library

Trip Around the DAMA Wheel Sessions

Select an available session below to watch the recording. New sessions will be added each week as the series progresses.

Week 1 · June 1, 2026 Data Governance Fundamentals Carmen Olson · Watch Recording Week 2 · June 8, 2026 Data Quality Carmen Olsen · Watch Recording Week 3 · June 15, 2026 Metadata Management Carmen Olsen · Watch Recording Week 4 · June 22, 2026 Master Data Fundamentails Carmen Olsen · Watch Recording
Week 5 Session Coming Soon
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Week 12 Session Coming Soon

Chapter Meeting Recording Library

Browse recent and historical DAMA-MN chapter meeting recordings. Each card includes the topic, speaker, session summary, available materials, and recording access when available.

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May 20, 2026 • Member Discussion

Member Open Discussion

Presented by DAMA-MN Members

Open floor meeting gives you an opportunity to network with your fellow DAMA members and discuss topics of interest. Need some help? Looking for new ideas? Want to brag about something cool you did? This is the place!

Come ready to engage with members on all topics data.

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June 17, 2026 • Member Share

Master Data Management

Member share by Riju Raval
Enterprise Data Strategy, Governance and Integration
Post Consumer Brands

Members share their knowledge, experiences, tips, and practical lessons learned. During this session, Riju Raval discusses key elements of Master Data Management, including where MDM fits within the broader data management ecosystem, how Master Data Management creates value for businesses, organizations, and institutions, and the challenges of designing and implementing Master and Reference Data Management capabilities.

Speaker bio

Riju Raval is a Senior Data and IT Leader with over 21 years of experience driving large-scale digital and data transformations across Manufacturing, Food Production, Finance, and Logistics. Expert in aligning data strategy with business outcomes, Riju specializes in Data Governance, Master Data Management, and Data Quality. A proven leader of global, multimillion-dollar programs, she has successfully managed teams of up to 60 cross-functional professionals to implement scalable on-premise and cloud solutions that deliver trusted enterprise data.

Thomas C. Redman “The Data Doc”

April 15, 2026 • Data Leadership

People and Data

Presented by Thomas C. Redman “The Data Doc”

In “People and Data,” Tom Redman explores why successful data and AI initiatives must start by putting people first. Drawing on his practical, human-centered approach to data quality, he shows how involving everyone and building stronger teamwork can help organizations overcome uncertainty and drive meaningful transformation.

Speaker bio

Tom Redman, known as “The Data Doc,” is a leading authority on data quality and enterprise data management who helps organizations tackle data challenges to drive better decisions, operations, and AI outcomes. A frequent contributor to Harvard Business Review and Sloan Management Review, he is the author of People and Data: Uniting to Transform Your Organization (2023), where he emphasizes empowering people and focusing on foundational data practices.

Andrew (Andy) Nash

March 18, 2026 • Data Quality

Data Quality Maturity: A Retrospective of Target’s Product Data Journey

Presented by Andrew (Andy) Nash

This Member Share from Target features Andy Nash, Data Governance and Quality Senior Manager, who brings more than 16 years of experience building trusted, actionable data through enterprise data quality, stewardship, and governance. In this session, Andy reflects on Target’s product data journey to share practical lessons on data quality maturity, people-centered governance, and the tools and artifacts that help organizations strengthen operational data quality over time.

Speaker bio

Andy Nash is a data quality and governance leader at Target with over 16 years of experience advancing enterprise data quality, stewardship, and trust in data. He is known for building scalable data quality capabilities by aligning technology, business processes, and people, and has led impactful initiatives such as enterprise scorecards and data quality controls while actively contributing to industry standards and thought leadership.

Recording not available View Materials
Robert (Bob) S. Seiner

February 18, 2026 • Data Governance

Accelerating Data Governance With Change Management and Data Fluency

Presented by Robert (Bob) S. Seiner

Robert S. Seiner’s session shows how combining data governance with change management and data fluency can turn governance from a perceived burden into a practical business accelerator that drives faster value, stronger adoption, and better AI readiness.

Speaker bio

Robert (Bob) S. Seiner is a recognized leader in data management and governance, best known as the originator of the Non‑Invasive Data Governance® (NIDG) approach and the Data Catalyst³™ framework. As President and Principal of KIK Consulting & Educational Services, he focuses on advancing best practices in data, metadata, and AI governance through education and knowledge sharing. An accomplished author and educator, Seiner serves as faculty in Carnegie Mellon University’s Chief Data and AI Officer (CDAIO) program and is a sought-after keynote speaker and thought leader in the global data management community.

Aakriti Argawal-Kim

January 21, 2026 • Change Management

6 Ways that Your Change is Sinking (and how to stay afloat)

Presented by Aakriti Argawal-Kim

Aakriti Agrawal’s session explains how leaders can use her ANCHOR framework to avoid common change-management pitfalls and build trust, reduce resistance, and sustain people-centered transformation.

Speaker bio

Aakriti Agrawal is a data and analytics professional known for her work in advancing data-driven decision-making and modern data practices within organizations. She brings a strong blend of technical expertise and business insight, focusing on areas such as data strategy, analytics, and governance to help organizations unlock value from their data.

Jason Doer III

November 19, 2025 • Data Governance

Member Share: Leading Data Governance in a Highly Regulated Utility Environment

Presented by Jason Doer III

At our DAMA-MN November chapter meeting we'll be hearing from fellow member, Jason Doerr III, as he shares how they're using AI to scale the data governance program at Xcel Energy!
Member shares are a great way to learn and discuss the practical problems our members are facing and real solutions being implemented. Come ready to converse, share ideas, and ask questions!

Speaker bio

Jason Doer III leads enterprise-wide data governance and lifecycle management at Xcel Energy, aligning data strategy with business outcomes. With a background in IT architecture, automation, and data quality, he blends strategic vision with practical execution to advance data maturity. A strong advocate for data-driven culture and trusted information, Jason brings leadership and thought-provoking insight to the data management community.

Mark Horseman

October 15, 2025 • Data Governance

Policy Meets Platform - Mapping Governance with Knowledge Graphs

Presented by Mark Horseman

In this session, Mark Horseman demonstrates how knowledge graphs can connect enterprise policies directly to data assets, creating a visual, traceable map of governance across a data landscape. He highlights a practical, lightweight approach to linking business glossaries, data lineage, and policy frameworks to improve clarity, ownership, and governance effectiveness.

Speaker bio

Mark Horseman is a data management leader with over 20 years of experience and currently serves as Data Evangelist at DATAVERSITY, where he leads education and certification initiatives. A CDMP Master and experienced instructor, he has led information management programs across public and private sectors and is a key contributor to industry training, including DATAVERSITY’s CDMP and Applied Data Governance Practitioner (ADGP) programs.

David Loshin

September 2025 • AI / Data Strategy

Navigating Information Risks to Establish a Baseline for Trusted AI

Presented by David Loshin

David Loshin’s session explores the growing integration of AI, machine learning, and generative AI into modern data and analytics ecosystems, while highlighting the risks associated with increasing reliance on automated decision-making. He outlines key concepts such as information risk, what defines “trustworthy” AI, and practical governance strategies to help organizations identify, assess, and manage AI-related risks effectively.

Speaker bio

David Loshin is President of Knowledge Integrity, Inc. and a recognized thought leader in data strategy, information risk, and analytics. A prolific author and sought-after speaker, he has written extensively on data management best practices and serves as an Associate Research Engineer at the University of Maryland, helping organizations drive innovation through trusted data.

Recording not available View Materials
Marilu Lopez

August 20, 2025 • AI / Data Strategy

Data Strategies as Cornerstone if you want to use AI in Advanced Analytics

Presented by Marilu Lopez

This session by Marilu Lopez highlights how a clear, pragmatic data strategy is essential for successful AI and advanced analytics initiatives, helping organizations avoid jumping into solutions without understanding their data challenges. It introduces the PAC (Pragmatic, Agile, and Communicable) approach, emphasizing stakeholder alignment, maturity assessment, and effective communication tools like strategy canvases to guide data management priorities.

Speaker bio

Marilu Lopez is a seasoned data management leader and consultant, and the owner of SEGDA, specializing in data strategies and operating models. With over 30 years in the financial sector and 15 years in data management, she is a CDMP Master and TOGAF-certified professional, a former president of DAMA Mexico, and a global DAMA leader who actively speaks at international conferences and authored Data Strategies for Data Governance.

Michael Scofield

July 16, 2025 • Data Visualization

Advanced Data Visualization for Critical Strategic Decisions

Presented by Michael Scofield

Michael Scofield’s presentation explains how data visualization turns raw data into clear insights that support both analysis and executive decision-making. He emphasizes the importance of data quality, consistency, and proper transformation in the data-to-information lifecycle. He also highlights techniques for presenting very large numbers in a more understandable, contextual way so leaders can make better strategic decisions.

Speaker bio

Michael Scofield is a seasoned data management professional, educator, and frequent industry speaker with over 20 years of experience in data quality, data architecture, data warehousing, and visualization. He serves as an Assistant Clinical Professor at Loma Linda University and has delivered hundreds of presentations worldwide, earning recognition such as the DAMA International Community Award for his contributions to advancing data management practices.

Meenu Howland

June 18, 2025 • Data Governance

Identify the Hidden Gaps: Understand why traditional data governance frameworks often fall short

Presented by Meenu Howland

This session challenges the idea that governance failures stem from poor design, instead revealing the deeper structural gaps that prevent programs from delivering value. Meenu Howland reframes governance as a dynamic, relationship-driven system and offers practical strategies—and a preview of her book Unlinked—to help organizations align data, processes, and accountability for real impact.

Speaker bio

Meenu Howland is a data governance and enterprise data strategy leader with over 15 years of experience helping organizations unlock business value from their data. Known for her practical, forward-thinking approach, she focuses on bridging gaps between data, processes, and ownership, and is the author of Unlinked, where she introduces a new architectural perspective on making governance effective and sustainable.

Claire Waner

April 16, 2025 • AI / Data Strategy

From Bottlenecks to Breakthroughs: How Data, Analytics, and Collaboration Are Revolutionizing Claims Processing

Presented by Claire Waner

This session shares how Securian Financial transformed claims processing by combining a customer-first mindset with data, analytics, and AI to move from manual workflows to a digital, human-in-the-loop approach. Claire Waner highlights the journey from identifying pain points to driving adoption, delivering faster processing, improved accuracy, and continuous improvement through collaboration and insights

Speaker bio

Claire Waner is a data science professional at Securian Financial with experience applying analytics and AI across industries including consumer packaged goods, supply chain, and financial services. She holds a Master’s degree in Computer Science with a focus on Data Science from the University of Illinois and is passionate about using data-driven approaches to improve business processes; outside of work, she enjoys baking, crocheting, and playing pickleball.

Mike Atkins

March 19, 2025 • Semantic Standards

The Business Case for Managing Meaning

Presented by Mike Atkins

Join Mike Atkins of Semantic Arts for a forward-looking session on the evolution of data management and the growing importance of managing meaning through semantic standards and graph technology. Drawing on decades of leadership in the field, he will highlight why traditional models fall short and share practical strategies for simplifying, harmonizing, and future-proofing enterprise data.

Speaker bio

Mike Atkins is a recognized leader in data management and semantic technology, and a co-founder of Semantic Arts, where he helps organizations design data architectures centered on shared meaning and business alignment. He is also the founder of the Enterprise Data Management Council and co-founder of the Enterprise Knowledge Graph Foundation, bringing decades of experience guiding enterprises in adopting semantic standards and knowledge graph approaches to simplify and harmonize complex data environments.

Piotr Czarnas

March 19, 2025 • Data Quality

A Journey of Scaling a Data Quality Team

Presented by Piotr Czarnas

Piotr Czarnas, founder of DQOps, shares a real-world case study on how Procter & Gamble scaled a data quality team from zero to 50+ data stewards in five years. He outlines practical approaches to standardizing processes, building reusable quality checks, and delivering agile, cross-domain improvements—offering a proven blueprint for scaling data quality in complex organizations.

Speaker bio

Piotr Czarnas is the founder and CEO of DQOps, a company focused on automating and scaling data quality management for modern data teams. With more than 25 years of experience in data engineering and software development, he has built and led high-performing engineering teams and multiple startups, helping organizations design practical, scalable approaches to data quality, governance, and observability.

Dave Crolene

February 19, 2025 • AI / Data Strategy

Integrating AI With Data: A Unified Strategy for Business

Presented by Dave Crolene

This session explores why AI and data strategies must be unified to deliver real business value, emphasizing the need for high-quality data, scalable architecture, and strong governance. David Crolene shares practical steps and real-world examples to help organizations align technology, processes, and culture for a cohesive, outcome-driven approach.

Speaker bio

Dave Crolene is Vice President of Data, Analytics & AI at EXL, with over 25 years of experience driving transformative business outcomes through data and emerging technologies. He has led enterprise data initiatives for major organizations including Sony, Pfizer, Target, and AT&T, combining deep technical expertise with strategic leadership.

Laura Madsen

October 16, 2024 • AI / Data Strategy

Navigating AI Disruption, stories from the book - AI and the Data Revolution

Presented by Laura Madsen

In this session, Laura Madsen explores how AI is transforming data governance, requiring organizations to move beyond traditional control-based models toward more adaptive, trust-focused approaches. Drawing from AI and the Data Revolution, she highlights the need to govern not just data, but also AI-driven decisions, emphasizing transparency, accountability, and cross-functional alignment in an evolving data landscape.

Speaker bio

Laura Madsen is a global data strategist, advisor keynote speaker and author. She coaches data leaders in healthcare, government, manufacturing, and tech. Laura has spoken at hundreds of conferences and events inspiring organizations and individuals alike with her iconoclastic disrupter mentality. Laura is a co-founder of Minneapolis-based consulting firm, Moxy Analytics where she combines her passion for helping companies define and execute successful data strategies and radically challenging the status quo.

Explore by Topic

Coming soon!

DAMA-MN chapter meetings cover a broad range of data management disciplines and professional practices.

Data Governance Data Quality Data Architecture Artificial Intelligence Analytics Data Literacy Metadata Semantic Standards Modeling Privacy Ethics Master Data Management Data Strategy Change Management

About This Recording Library

DAMA-MN uses this page as the member-facing catalog for chapter meeting recordings. Recordings may be hosted on external streaming platforms to improve playback quality and accessibility while this Wild Apricot page remains the primary member access point.

The archive is maintained by DAMA-MN volunteers. If you notice a broken link, missing material, or an archive entry that needs correction, please notify the chapter at recordings@dama-mn.org so we can update the listing.

Join Us for an Upcoming Chapter Meeting

Recordings are a valuable way to revisit past sessions, but the best experience is live participation with the DAMA-MN community. Join us for upcoming chapter meetings, workshops, study groups, and professional development events.

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