What analytics leaders are reading
Strategy, education, and perspective for data and BI leaders navigating complex multi-tool analytics environments, without starting over
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Understand what an Analytics Hub actually is
If you're new to the Analytics Hub category, start here. These posts cover the fundamentals, what it is, what it isn't, and why the distinction matters for organizations running multiple BI tools
Evaluating your BI environment
Question whether consolidation is actually the answer
Most BI leaders have been pushed toward standardizing on a single platform. These posts lay out why that thinking is wrong, and what to do instead, without disrupting the teams that depend on today's tools
Building the business case
Arm yourself before the stakeholder conversation
When you need to justify investment, frame the problem to leadership, or articulate why the current state costs more than it looks, these are the posts to read first
Latest post · BI Strategy
The use case for usage: know what's actually being used
You can list every BI license you pay for, but not which reports drive decisions. Why usage intelligence, not vendor activity metrics, is how you defend analytics spend and govern well
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The use case for usage: know what's actually being used
You can list every BI license you pay for, but not which reports drive decisions. Why usage intelligence, not vendor activity metrics, is how you defend analytics spend and govern well
The multi-vendor stack is not a failure state
Consolidation isn't stalling because you planned badly. It's stalling because it shouldn't finish. The operating model for running a multi-vendor BI stack on purpose
Why BI standardization projects run years late
Standardization keeps getting sold as a finish line, but it behaves like a treadmill. The sunk-cost anatomy of a program that never closes, and what to fix instead
Analytics portal: one hub for every BI tool
An analytics portal gives users one trusted place to find dashboards, reports, and business context across every BI tool they already use. What it is, what it should include, and when you need one
The most expensive reports in your company are the ones nobody can find
A report nobody can find has almost the same value as one that never existed. Why so much analytics waste comes from a shortage of visibility, not a shortage of content
The fantasy of the one-tool enterprise
Reducing four BI tools to one rarely fixes adoption. Why the one-tool enterprise stays a fantasy, and why accessibility matters more than standardization
How to create one portal for Power BI, Tableau, and Qlik
The practical way to give Power BI, Tableau, and Qlik one front door: an Analytics Hub above your existing tools, with no migration and no rebuilding
Data catalogs are dead - and the industry's refusal to admit it is costing you
A decade of promises, and many organizations got expensive shelfware. An honest post-mortem on why data catalogs miss business users, and what to do instead
Analytics catalogs: actually useful, or just another checkbox?
Between the vendor noise and the analyst hype, it's hard to separate genuine value from another platform collecting dust. When analytics catalogs deliver, and when they don't
A peaceful transition of power - for your analytics
Users don't follow BI migrations, they follow familiarity. How a stable layer in front of your tools lets you swap platforms without disrupting the people who use them
Navigating the maze: how many BI tools does your organization actually need?
The question most BI leaders are afraid to answer honestly. A framework for auditing your tool landscape without triggering a political firestorm
Your complete guide to analytics catalogs: solving today's biggest challenges
What an analytics catalog is, why it's not a data catalog, and the specific problems it solves for organizations running multiple BI platforms
Better creativity happens when your analytics are organized
Fragmented analytics don't just slow people down, they actively suppress creative thinking. What good analytics organization makes possible for the teams that use it every day
5 great reasons to pair an analytics catalog with Microsoft Power BI
Power BI is a strong platform, but it doesn't solve discovery, cross-tool governance, or multi-audience access. Where an analytics catalog extends what Power BI already does well
The Dewey Decimal System for business intelligence
The idea of systematic classification for analytics assets shouldn't be novel. And yet most BI environments have no organizing logic at all, and the consequences are real
Reimagining user experience in the analytics world
BI tools no longer compete on raw capability, they compete on experience. Why UX drives adoption, what it covers beyond the interface, and how to test it before you buy
Why choose just one tool? How to bring the titans of BI together
The business case for a single BI platform is compelling in theory. In practice, most large organizations run three or more, and treating that as a failure is the wrong frame
The future of analytics is unified - not standardized
Not consolidated through migration. Not standardized on one platform. Unified, while preserving the investments you've already made. The distinction that changes the strategy entirely
The top 5 benefits of analytics catalogs you need to know
Centralized access, smoother vendor transitions, cross-platform usage data, broader adoption, and analytics governance. Five concrete benefits of putting a catalog above your BI tools
Analytics catalogs, data catalogs, and metrics stores: a plain-language cheat sheet
Three categories, overlapping marketing claims, and genuinely different use cases. The plain-language breakdown that helps teams choose the right tool for the right problem
The era of BI standardization is over
The idea that enterprises would converge on a single BI platform was always a theory. Why it keeps failing in practice, and what organizations should do differently from here
Standardization is the wrong answer for analytics
Consolidating onto one platform sounds efficient. The reality is lost institutional knowledge, disrupted workflows, and adoption that never fully recovers. There's a better path
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