Decision Intelligence and business intelligence consulting Make recurring decisions faster and with more confidence
Each subsidiary calculates margin slightly differently. The figures come together in spreadsheets. Every question from management waits for a one-off analysis. For one concrete, recurring decision we build the right foundation: trusted data, agreed KPIs with thresholds and a fixed routine.
Data-driven decisions
Decision Intelligence is the DataClue offer for business intelligence and analytics built around one concrete, recurring management decision. We combine trusted data, agreed KPI logic, analytics and thresholds into one decision system. It runs on your existing ERP, BI and spreadsheet landscape, for example Power BI. AI is added where it improves the decision.
When Decision Intelligence fits
- The data exists, but systems, spreadsheets and definitions produce several versions of the same number.
- Every month, reporting ties up time collecting, consolidating and checking data before analysis can begin.
- KPIs are reported, but nobody knows at which value who should act and how.
- Answers to management questions depend on individual analysts instead of a repeatable process.
What you walk away with
- A trusted fact baseThe data for the decision is connected and consolidated. Data issues that distort the decision are fixed.
- Agreed KPIs and thresholdsIt is defined what is measured, which thresholds matter and what action follows from each signal.
- A cockpit and a routineA dashboard in the systems you already use, such as Power BI. Plus a fixed cadence for making and reviewing the decision, measured against criteria for speed, quality or effort.
What it takes
- Who is involved
- On your side: the person who owns the decision, your IT for access, and the specialists who prepare the figures today. On ours: a consulting and data team working on site with you.
- What data we need
- Access to the sources behind the decision, such as ERP, CRM, line-of-business systems, existing BI models and spreadsheets. A new data warehouse is not a prerequisite.
- Data protection and IT
- The data stays in your systems or in an environment you choose, processed under the GDPR. We use AI models hosted in the EU. Your data is not used to train third-party models. Access rights, operating model and deletion are settled before we access any data. Access rights from your BI landscape stay in place.
How the decision system is built
Define the decision
Agree on the management question, the decision owner, the cadence and the success criteria.
Establish the fact base
Connect and consolidate the data the decision needs, and fix the data-quality issues that matter.
Set KPI and decision logic
Agree what is measured, which thresholds matter and what action follows.
Develop the dashboard
Implement the dashboard, analysis or decision workflow in the systems you already use.
Embed the routine
Validate with real cases, refine the logic and establish a fixed management routine.
Typical decisions
Controlling and reporting
- Today
- At month-end your team compiles figures from several systems by hand, often under time pressure.
- Going forwardRuns automatically
- Consolidation from several systems, reporting and dashboards under fixed rules.
- Your team decides
- Assessing and commenting on the variances.
Ramp-up and launch readiness
- Today
- Plants report ramp-up data in separate spreadsheets, and the overall picture is assembled by hand.
- Going forwardRuns automatically
- Consolidation, validation rules and a management view of the ramp-up curve, milestones and launch KPIs.
- Your team decides
- Countermeasures where the curve deviates from plan.
Procurement and prices
- Today
- The same items appear under different names on invoices from several subsidiaries.
- Going forwardRuns automatically
- Matching identical items and comparing prices across suppliers, sites and time.
- Your team decides
- Assessing the price variances and prioritising supplier talks.
Case studies
- 50%less monthly consolidation effortFull margin transparency across three sites and multiple ERP systems
- 12KPIs in one cockpit for the entire site networkProgram cockpit: the status of all ramp-up programs and sites in one view
- ERP-connectedforecast model built on finance data and assumptionsA cash flow forecast that shows how much each assumption matters
All client examples are anonymized.
Applied AI & Analytics
Data-driven decisions
Frequently asked questions
What is decision intelligence?
Decision intelligence combines data, KPI logic, analytics and fixed decision routines into a system that supports one recurring decision. Unlike a dashboard on its own, it also defines at which threshold who acts and how.
Do you work with Power BI?
Yes. We build on existing BI landscapes, including Power BI. We do not require a platform migration. On Power BI, our Governed AI Analyst can also run, a DataClue product in its own right and part of this offer. With it, your team asks questions in natural language. The answers rest on the approved measures, definitions and access rights.
Is this a dashboard project?
No. The starting point is a concrete management decision, not a report. A cockpit is built where the decision needs one, together with KPI logic, thresholds and a fixed routine.
Does every decision need AI?
No. Trusted data, calculated KPIs and clear rules remain the foundation. AI is added where it explains variances, identifies drivers or opens up unstructured information.
Contact
Which recurring decision should be easier to make?
Bring one concrete management decision. We assess which data, logic and routine would make it faster and more reliable.
