Beyond reporting
Analytics that change decisions, not just reports
Decision Intelligence & Advanced Analytics starts from one repeatable business decision and works back to the data, metrics and models it needs. Success is measured against agreed business and decision-performance indicators, not by how many dashboards are delivered.
A senior lead replies within one business day. No obligation.
Dashboards everywhere, decisions unchanged
Reports describe what happened. They rarely explain why, what comes next or what to do about it. So decisions are still made on instinct and spreadsheets, and the data team keeps producing reports nobody acts on.
What it costs: Slower and inconsistent decisions, effort spent on reports nobody uses, and signals noticed too late.
What it sounds like:
“We have dashboards. Why don't decisions change?”
“Every team has its own KPIs.”
“Our data team is busy, but the business doesn't feel the value.”
“We only find out what went wrong at month end.”
Start from the decision, not the dashboard
We pick one high-value decision that comes up again and again, such as pricing, staffing, collections or stock. We work out what that decision needs, build what is in the agreed scope, then measure whether the decision improves and refine it.
For each priority decision, we help define:
- who owns the decision;
- which trusted data it needs;
- which metrics or models support it;
- what thresholds trigger an action;
- how the outcome will be measured;
- how the decision process improves over time.
Beyond reporting
| Descriptive | Diagnostic | Predictive | Prescriptive |
|---|---|---|---|
| What happened? | Why did it happen? | What is likely to happen next? | What should we do? |
Many organisations stop at the first step.
What you get
Depending on the decision and the agreed scope:
- A documented priority decision, its requirements and opportunities for improvement
- Governed KPIs and analytical datasets
- Analytical methods, from diagnostic analysis to predictive or prescriptive models where justified
- Forecasting, segmentation and scenario analysis
- Decision workflows, alerts and action thresholds
- Measurement of adoption and business outcomes
Typical first result
One priority business decision chosen, with its owner, data needs and analytical approach agreed.
A senior lead replies within one business day. No obligation.
How it works
- Choose the decision.With the business owner, agree one decision worth improving and how success will be measured.
- Develop the analytical solution.Prepare the required data, metrics, analysis and, where justified, analytical or predictive models.
- Put it into the workflow.Alerts, thresholds and a clear process for who acts, and when.
- Measure and refine.Track adoption and the outcome, then refine the analysis, decision rules and workflow based on the results.
Examples of where it applies: demand and workload forecasting · risk and anomaly detection · customer or citizen segmentation · resource optimisation · scenario modelling · propensity and churn analysis · predictive maintenance · decision recommendations.
Six steps in a loop: business decision, trusted data product, metric or analytical model, action, measured outcome and feedback.
Repeated for each priority decision
- 1Business decision
- 2Trusted data product
- 3Metric or analytical model
- 4Action
- 5Measured outcome
- 6Feedback
Who does the work
A senior DataOfis lead works with the business decision owner to define the analytical solution, oversee agreed delivery and establish how adoption and outcomes will be measured. Analytics and data science specialists from our network build the data and the models.
Working together
- Indicative duration: 6–12 weeks for a focused first decision with accessible data and limited integration needs. More complex data or integration work extends it.
- What DataOfis is responsible for: the agreed project deliverables within the agreed scope.
- Bought on its own: start with one decision; add the next when the first one works. Ongoing support for the model is available if you need it.
- What we need from you: an owner for the decision, access to the data, and the people who will act on the result.
Questions we often hear
Usually not. We start with the data you have, and say clearly if a foundation gap must be fixed first.
Often yes, for one decision. If the data can't support it, we show what to fix first.
No. For a smaller company, one decision, such as stock, pricing or cash collection, is often the best first data project.
Decision Intelligence focuses on improving a business decision and the process around it. AI Pilot-to-Production focuses on developing and deploying a defined AI solution. Some engagements need both.
It is agreed at the start with the owner of the decision: what should change, and how it will be measured. We don't promise specific numbers.
Often combined with
Pick the decision that matters most
Tell us which decision you'd most like to improve. We'll discuss what a first use case could look like.
A senior lead replies within one business day. No obligation.
Not sure which decision to start with? Request a free first conversation