Re-Air: Data Teams at the Crossroads: Proving Value in a Changing Business Landscape with Ben Rogojan

Feb 11, 2026

Ben Rogojan, owner of Seattle Data Guy and data consultant who advises companies on analytics strategy and community building. He talks about how data teams must prove tangible value in tight budgets. Conversation covers AI’s impact, prioritizing high-impact work over vanity metrics, delivering minimal actionable outputs, and the skills needed to bridge data and business.

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ADVICE

Sell Outcomes After You Ship

After shipping a dashboard or product, proactively monitor engagement and coach users on how to use it.
If engagement is low, iterate or change delivery instead of assuming the product failed.

ANECDOTE

Sitting With Sales Revealed Hidden Usage

John embedded with sales, joined calls, and watched pitches to learn how analytics were used in deals.
He discovered about 80% of his work never made it into final decks but still stayed involved to influence outcomes.

INSIGHT

C-Suite Wants Two Numbers And A Story

Executives usually need only one or two headline numbers plus a brief narrative.
Data teams often overproduce detail instead of optimizing for those minimal, trusted outputs.

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This episode is a re-air of one of our most popular conversations, featuring insights worth revisiting. Thank you for being part of the Data Stack community. Stay up to date with the latest episodes at datastackshow.com.

This week on The Data Stack Show, John welcomes back repeat-guest Ben Rogojan, Owner and Data Consultant of Seattle Data Guy. John and Ben discuss the evolving relationship between data teams and businesses, highlighting the challenges of proving value in a cost-conscious environment. Ben explores the impact of technological advancements, the rise of AI, and the critical skills data professionals need to succeed. Key insights include the importance of understanding business context, being proactive, and focusing on delivering tangible outcomes rather than just producing dashboards. Ben also emphasizes the need for data teams to communicate value effectively, show rather than tell, and be willing to take calculated risks. The conversation provides practical advice for data professionals looking to advance their careers, with a focus on developing business skills, understanding organizational needs, creating meaningful impact beyond technical expertise, and so much more.

Technical Freelancer Academy & Consulting Community (1:21)
Evolution of Data Teams and Technology (2:52)
Data Team Growth and Output vs. Outcome (4:47)
Internal Optimization vs. Client-Facing Data Work (7:23)
Audience, Delivery Mechanisms, and Actionability (12:40)
Proving ROI and Prioritizing Work (15:27)
Practical Tips for Data Team-Business Alignment (18:31)
Dealing with Vanity and Security Blanket Metrics (23:39)
AI’s Impact on Data Workflows (27:07)
BI Tools, AI Integration, and Dashboards (32:25)
Top Skills for Data Professionals (37:27)
Career Growth: Technical, Communication, and Business Skills (42:02)
Show, Don’t Tell: Prototyping and Feedback (44:37)
Taking Initiative and Risk in Data Roles (50:21)
Parting Advice and Closing Thoughts (51:16)

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