Capability · Steps 3 and 4 of the Selberg model

Analytics and Decision Intelligence

See what is happening, why, and what is likely next.

We take organisations beyond static reporting to analytics that explain what happened, why it happened, what is likely to happen next, and what should follow. A dashboard is only worth something when leaders trust the definitions, the calculations and the sources behind the numbers, so our analytics work is built on the governed foundation, never beside it.

Problems this solves
A good question takes three weeks to answer. Nobody trusts the forecast. We find out about problems after the month closes.
01

Business intelligence leaders trust

Executive dashboards and self-service analytics built on one semantic model, so that "revenue" means the same thing in every meeting. We define the KPI framework with you, model it once, and make it available to everyone who needs it, in the tools they already use.

What we build
  • Executive dashboards and enterprise KPI frameworks
  • Semantic modelling and self-service analytics
  • Operational, financial and performance analytics
  • Customer and behavioural analytics
Power BI · Microsoft Fabric · Databricks · Snowflake · dbt
02

Forecasting and scenario analysis

Forecasts you can plan against, with the assumptions visible and the error measured. Demand, revenue, capacity, cash and occupancy, with the ability to ask "what if" and see the answer in minutes rather than in next month's spreadsheet.

What we build
  • Forecasting and predictive analytics
  • Scenario analysis and planning models
  • Optimisation: pricing, allocation, scheduling, inventory
  • Anomaly detection on the measures that matter
03

Decision support

From what happened to what to do. Operational analytics that reach the people who act, with alerts when a measure moves, the likely causes beside it, and the recommended next step. This is the layer that becomes automated action once you are ready for it.

Illustration
Measure · On-time delivery, Riyadh lane, this week
Movement · Below plan for three consecutive days
Likely causes · Border congestion, one carrier's recent performance
Recommended · Re-slot Thursday deliveries, notify the three affected customers
Illustrative example, not client data.
What changes
Decisions in minutes, not weeks.
The question is answered in the meeting, from numbers everyone accepts.
Forecasts you can plan against.
With the assumptions visible and the accuracy tracked over time.
Fewer surprises at month-end.
Problems surface while there is still time to act on them.
Analytics is built on the governed foundation. If yours is not there yet, the assessment says so, and what to do first.
How we work Talk to an engineer