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
- Salesforce Data 360 and Agentforce: The Readiness Work Behind the Reorg , Salesforce just reorganized the whole company around Agentforce and Data 360, with Agentforce past $1.2B ARR. The agents only work on a clean data foundation. Here is the…
- Native BI AI in 2026: Tableau Pulse, Power BI Copilot, and Microsoft Fabric , The fastest AI win is usually the one already in the BI tool you pay for. Here is what Tableau Pulse, Power BI Copilot, and Microsoft Fabric actually add, and the one prerequisite…
- AI Automation That Ships: One Production Workflow Beats Ten Demos , The fastest agentic payback is a support or SDR automation, around 3.4 months. But most teams have prototypes, not production. Here is the pattern that takes one workflow all the…
- Data Visualization That Earns Trust, Not Just Attention , A beautiful dashboard on numbers nobody trusts gets ignored within a quarter. Good visualization starts with a certified metric and a real decision, not a chart library. Here is…
- Decision Support Systems: Modeling the Big Calls Before You Make Them , A dashboard tells you what happened. A decision support system models what happens if. Here is how human-in-the-loop scenario modeling turns a gut call into a defensible one, on…
- Self-Serve Data Portals: How to Get Out of the Report-Request Queue , When the analytics team spends 80 percent of its time fetching numbers, self-serve is the way out. But access alone fails. Here is what governed self-serve takes, and the numbers…
- RevOps and Pipeline Analytics: One Number the Board Actually Trusts , RevOps is becoming the standard operating model for growth firms, and the reason is simple: it ends the board-meeting argument over whose pipeline number is right. Here is what…
- Agentic BI in 2026: Moving From Dashboards That Show to Systems That Act , Agentic BI is the breakout category of 2026, and the production gap is brutal: near-universal adoption, almost no one in production. Here is what separates a demo from a deployed…