Research, perspectives, and insights on the future of AI-powered analytics.
Most mid-market companies spend $5K–15K/month on analytics tooling — and that's before engineering headcount. A layer-by-layer cost breakdown with the hidden expenses nobody talks about.
Fewer than 30% of enterprise dashboards are viewed after their first month. Here's why the dashboard model is structurally broken and what's emerging to replace it.
95% of business users return to asking analysts instead of using self-service BI tools. We examine the structural reasons and what actually works instead.
A practical guide to the modern data stack landscape — what tools still matter, what AI has replaced, and three architectures for different company stages.
Adversarial research applying structured methodology — feeding AI real market evidence and asking the questions that actually matter for Dashfeed's positioning.
Legacy BI tools are hitting their limits. We examine the structural forces reshaping the industry and why AI-native platforms represent the next dominant paradigm.