What Topics Does Ryan Swanstrom Cover on His Blog?
Updated
Ryan Swanstrom's blog focuses on using analytics to drive business strategy, with a recurring emphasis on choosing the right data and analytics rather than simply collecting more of them. The site presents three main areas: analytics for business strategy, the role of technology in supporting that strategy, and content creation across multiple platforms. If you're looking for practical perspectives on connecting data work to business outcomes, this is the throughline.
Analytics for Business Strategy
The central theme is that analytics should serve business strategy, not exist for its own sake. The blog's own framing puts it directly: "It is more than just data and analytics. It must be the right data and analytics."
A specific focus within this theme is finding KPIs that move the business forward. That means the content leans toward questions like which metrics actually matter, how to connect measurement to decisions, and how to avoid tracking numbers that don't change behavior.
Technology Choices Start With the Business Problem
The blog addresses technology, but with a clear ordering of priorities. As stated on the site: "Although the technology choice can be important, always start with the business problem."
This is a useful lens if you're evaluating tools or platforms. The implied approach is to define the problem first, then let the tooling follow — rather than selecting a stack and retrofitting a use case to it.
Where the Content Lives
Ryan Swanstrom describes himself as a Data Leader & Content Creator, and the content is distributed rather than confined to one feed:
- The website itself
- His LinkedIn page
- Various other spots across the internet
That matters if you prefer following a particular platform. The blog functions as one node in a broader publishing footprint, so the same themes may appear in different formats depending on where you read them.
Who It's For
The content is aimed at readers who care about the business side of data work — how analytics translates into strategy, which KPIs deserve attention, and why problem definition should precede tool selection. If you want deep technical tutorials on specific algorithms or hands-on coding walkthroughs, the site's own description doesn't point in that direction. If you want a business-first framing of analytics decisions, the three themes above are what you'll find.