Insights
White papers, practitioner essays, and monthly digests on what is actually working in enterprise data and AI in 2026. No vendor content. No filler.
Recent insights
- The 2026 Enterprise Data Readiness Report: Why 3 in 4 AI initiatives Stall Before Production , Based on patterns across 47 enterprise engagements, this report identifies the five data-layer failures that prevent AI from reaching production and the architectural decisions…
- Agentic AI Requires a Different Data Architecture: A Technical Framework for 2026 , LLM-based agents make decisions autonomously. When they are grounded in bad data, those decisions propagate at machine speed. This paper outlines the data architecture…
- The True Cost of a Platform Migration: A CFO-Level Analysis of 100+ Replacement Decisions , We have recommended a platform migration fewer than 15 times across 100+ engagements where one was proposed. This paper shows what the full cost model looks like and why most…
- Data Mesh in Practice: What Works, What Fails, and What Nobody Tells You , Data mesh is the most discussed and least successfully implemented architecture of the past three years. This paper separates the organizational reality from the conference talk,…
- The 5 Data Questions Every B2B Executive Is Asking in 2026 , CFOs want to know if the numbers are right. CIOs want to know if the platform is defensible. CEOs want to know when AI will actually work. Here is what we are hearing in every…
- What an AI agent actually is (and what it isn't): a primer for ops leaders , Past the marketing glossary and into the engineering reality. What separates an AI agent from a workflow, where each is the right tool, and the failure modes nobody talks about…
- Tableau License Cost 2026 Calculator , Tableau Creator, Explorer, and Viewer license costs in 2026, plus the Server vs Cloud TCO breakpoint that decides which deployment actually saves money. Server admin time, Cloud…
- Tableau vs Power BI 2026 , An honest, vendor-neutral comparison of Tableau and Power BI in 2026 from a team that has shipped both. Where each one actually wins, the parts of the comparison nobody bothers to…