- Resources
Resources
Access Research, Industry Reports, Blogs, and Guides built for AI and Data leaders.
Data and evidence
Research
Evidence from surveys, analyst forecasts and regulators, with the method and the date beside every figure.
Points of view
Analysis
Arguments from the people who build the BIAAS program. Each piece takes a position and shows its working.
5 piecesYour semantic layer is a cost control
Gartner calls context a cost-control strategy for agents. What that means for a BI team, and where I would start.
Culture is the barrier everyone names
Why culture tops every list of data and AI obstacles, and the three places the 2025 and 2026 surveys say it shows up.
What we leave out of the BIAAS program
The four reasons we turn session ideas down, and the topics we want speakers to bring to BIAAS 2027.
Nobody counts the dashboards
There is no solid recent figure for unused dashboards. What the evidence does show, and how to count your own.
Ninety-five per cent of what? Reading the most quoted AI statistic
The claim that 95% of generative AI projects show no return is everywhere. The study behind it measures something narrower.
Practical
Guides
Checklists, explainers and worksheets for the teams doing the work.
Ten questions worth bringing to BIAAS 2027
Ten questions for delegates, in four groups, with what a useful answer sounds like and space for notes.
Running self-service analytics without losing the numbers
Five stages for governed self-service: who builds what, a certified core, one semantic layer, natural language with care, and pruning.
How to measure what analytics and AI work is worth
A four-rung value ladder, a baseline method and a one-page value sheet for analytics, BI and AI projects.
Seven checks before an AI pilot goes live
Seven checks with a test and a pass mark each, for the meeting where a pilot asks to go live.
Agentic AI in the enterprise: a working explainer
A plain account of AI agents: four tests for the word, how the loop works and where first projects go wrong.
Data products and data contracts: what they are and who owns them
What data products and data contracts are, where the open standards stand in 2026, and how to start with one dataset.
Decision intelligence for BI teams
What decision intelligence adds to BI and machine learning, and how to model one decision before buying anything.
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BIAAS 2027, Amsterdam
Hear it first-hand from the people doing the work
Two days of keynotes, panels and 1-on-1 meetings with senior data, analytics and AI leaders, on 23-24 March 2027.