Notium
Reviewed
Oct 2026
The one page on Reporting and Data Modelling
The sheet we hand out on the stand. Management and board reporting on SAP, on a data model built to be ready for AI.
Every report is structured around a decision, never a default export.
What you are seeing: The printed A5 sheet for Reporting and Data Modelling, as handed out at UKISUG Connect 2026.
Is your reporting ready for AI?
AI can only answer what your data model can hold. Most dashboards sit on models built to show what happened, not why. We build the model and the reports together, so leadership gets clear answers now and AI works on the same foundation next.
What changes in your SAP landscape
Today: Reports built on BW extracts. With Notium: One governed model in Datasphere
Today: Measures set per dashboard. With Notium: Defined once, reused everywhere
Today: Board pack assembled in Excel. With Notium: Board pack from SAP Analytics Cloud
Today: Data an AI cannot read. With Notium: Business context an AI can read
BW and S/4HANA stay as sources. Definitions, hierarchies and business terms live in the model, and every report, dashboard and assistant reads the same one.
Built on SAP Analytics Cloud and SAP Datasphere. Works with BW and Databricks.
Sound familiar?
- Someone has to be in the room to explain the numbers.
- Nobody is sure which version of a report is current.
- Two departments, two figures for the same month.
- An AI pilot that stalled because the data could not back it.
How it goes
- Review. What exists, what is actually opened, what can go. Your reporting described in evidence, not opinion.
- Questions first. The decisions each report supports, agreed with the people who read it. Measures and definitions follow from that.
- Model. The Datasphere or BW model built to hold those answers, with one definition per measure across departments.
- Reports. Board pack, dashboards and stories in SAP Analytics Cloud, built for how leaders read, not how the system stores data.
- Own it. Definitions and the model handed to a named owner. The same model serves this cycle and the next, without a rebuild.
Why Notium
Reporting is where AI shows its value first, and where it fails first if the model underneath cannot hold the answer.
- AI ready from day one. We build AI for SAP analytics ourselves, so we know what a model must hold for an assistant or an agent to use it. Yours is shaped for that now.
- One team for both. The people who design the board pack build the model under it. A good report needs a model that can carry it.
- Starts with the question. Every report is structured around a decision, never a default export. If a page does not help someone decide, it does not go in.
The same clarity problem solved in retail, manufacturing, energy and services, each time on the same SAP foundation.
Where to start
Start with an AI readiness review. A short review of your reporting: what the model can answer today, what AI could do with it, and what a rebuilt version would look like. One report is a fair place to start.
Book an AI readiness review
