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Your Monthly Action Brief
Action Brief is our monthly snapshot of what we’ve been building, thinking, writing, recording, and learning about here at Action. If you’d like this delivered to your inbox the last Friday of every month, subscribe to Analytics Advantage.
View From the Bridge
Over the past month, a theme kept resurfacing in our conversations: the analytics stack is coming apart, and that may not be a bad thing.
For years, software vendors have competed by building bigger platforms, adding more features, and convincing organizations to move deeper into a single monolithic ecosystem. AI is changing that equation. Suddenly, it is dramatically easier to connect specialized tools, generate code, build interfaces, and create workflows that span multiple systems.
That is why concepts like headless BI, Model Context Protocol (MCP), and agent skills matter more and more. They are not isolated technologies, but signals of a broader shift toward composable analytics, where value comes less from owning the entire stack and more from enabling systems to work together.
But interoperability alone is not enough. As AI agents become more capable, they need context, documentation, and structured ways to interact with data, applications, and business processes. That is one reason we are excited about our recent work around skills, including the release of our Query Tableau Data Skill. Skills provide a practical bridge between what AI models can reason about and what they can actually do.
The organizations that succeed in this next phase will not necessarily have the biggest platforms or the most impressive demos. They will be the ones that can combine human judgment with flexible architectures, trusted data, and well-designed systems that allow people and machines to collaborate effectively.
The future of analytics is increasingly composable. The challenge now is learning how to assemble and manage the pieces.
Your Analytics Advantage
What’s Left After the Friction Is Gone?
AI is rapidly eliminating the barriers between ideas and execution. As that friction disappears, vision, taste, understanding, and restraint become the most valuable skills in the room.
How I Would Fix Tableau’s Product Strategy
Tableau’s biggest opportunity may not be pulling customers deeper into Salesforce. It may be becoming the trusted governance layer for an increasingly AI-generated analytics world. Shaun Davis argues that the future belongs to platforms that enable workflows, not control them.
More Action
Tableau Visionary Tristan Guillevin on Why MCP Matters (Video)
Fresh off his TC26 Hackathon win, Tristan Guillevin joins The Sensemakers to discuss Model Context Protocol (MCP), AI-assisted development, and how emerging architectures are exposing both the strengths and weaknesses of today’s analytics platforms.
The Rise of the Agentic Analyst
What happens when AI agents become your most capable analytics teammate? Stephen Price explores the rise of the “Agentic Analyst,” and why the future of analytics may depend less on dashboards and more on the people who know how to direct coding agents toward meaningful business outcomes.
The Real Meaning of Headless BI
Stephen Price challenges the industry’s current definition of headless BI and argues that true decomposition means breaking apart the entire analytics stack, not simply replacing dashboards with AI-generated interfaces.
The Real Meaning of Headless BI (Video)
Keith Helfrich and Stephen Price explore why composable architectures, agentic systems, and developer experience may reshape the future of analytics more profoundly than most current vendor narratives suggest.
Save Us From Ourselves: The Tableau Problem Every Analyst Secretly Understands
Jay Farias looks at how Tableau evolved from an analyst’s exploration tool into an enterprise platform carrying responsibilities it was never designed to hold, and why analytics teams now need clearer architectural boundaries.
The Conference Beneath the Conference
In the aftermath of Tableau Conference 2026, Keith Helfrich reflects on what the conference revealed beneath the keynotes and announcements. While Tableau and Salesforce talked about AI, practitioners were more focused on governance, workflow improvements, and operational reality.
If you missed any of our TC26 coverage or post-conference content, check out the TC26 Mega-Blog.
The Action Way
The Action Way is our ethos in practice: small, memorable principles that shape how projects move forward and how we treat each other. By sharing these, we invite readers inside our culture, showing that our approach to analytics is rooted as much in clarity, thoughtfulness, and discipline as it is in data.
Apply a Green Lens
We choose to see others as whole, heroic, and already contributing. This transforms how we collaborate, especially in moments of tension.
“If it can produce a better outcome, the answer
is always yes.”— Keith Helfrich
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