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Business Intelligence

Governed measures and clear paths through the data.

The problem

Plenty of dashboards, little trust.

  1. Indicators with the same name and different definitions.

  2. In meetings, people argue about the number, not the decision.

  3. From the total you cannot reach the detail that explains it.

Our contribution

A metric is useful when its reader understands its meaning, period and scope. We agree definitions, formulas, filters and exclusions with the people who use and produce the information. The semantic model turns these rules into shared measures and relationships, paying particular attention to percentages, balances and time comparisons that cannot be aggregated like ordinary amounts. Differences between views need to be explainable in business terms.

We design reports around decision questions: where a variance is concentrated, which components contribute to it and what detail is needed to investigate it. Summaries and navigation follow a clear order, with visible units, filter context and refresh information. We verify results against agreed cases, including combinations of filters and role-based visibility limits. Measure documentation and usage guidance accompany delivery so that the report can be interpreted, checked and maintained as business questions evolve.

What the work covers

  1. Measure definitions

    We document formulas, denominators, time windows and exclusions, identifying who owns decisions about each definition.

  2. Semantic modelling

    We build reusable relationships and calculations, checking how totals, filters and different levels of detail behave.

  3. Analysis paths

    We organise summaries, comparisons and drill-downs to connect a result with its components without losing context.

  4. Verification and adoption

    We check interpretation, refresh and visibility cases, then prepare operating references for users and model owners.

What takes shape

Practical work products, scoped to the engagement.

  1. The problem
  2. The analysis
  3. The result
#Work productWhat it contains
01Metric catalogueShared measure definitions with sources, formulas, conditions of use and ownership.
02Model and reportsA semantic model and reporting paths built around the agreed questions and user roles.
03Verification casesReconciled examples and interpretation guidance for checking report results, filters and limitations.

Six stages

The assessment path

Find out whether the indicators you rely on are defined, reliable and actually read.

A bounded engagement, with scope and fee agreed before work begins. If you go ahead with the project, the assessment fee is deducted from the follow-on engagement.

The six stages and the results they feed
#StageData ecosystem and report mapIndicator catalogue with findingsInitial action plan
01Interviews with management: decisions, recurring questions, key indicators.noyesno
02Mapping of the data ecosystem: systems, flows, reports in use and owners.yesnono
03Study of the sources: quality, definitions, refresh, tie-out with official figures.yesyesno
04Review of indicators and the semantic model: single definitions, paths from summary to detail.noyesno
05Analysis of report use: who uses them, for what, where reading breaks down.yesyesno
06Priorities and an initial action plan.noyesyes

What you receive

A
Data ecosystem and report map
B
Indicator catalogue with findings
C
Initial action plan

Two ways to start.

01 · Free data check-up

Start with a data check-up.

About an hour online, a written summary within five working days. No cost, no obligation.

  1. 01RequestAsk for the check-up through the contact form.
  2. 02Online meetingAbout an hour to trace systems, sources, reports and weak points.
  3. 03Written summaryWithin five working days: current situation, issues and recommended path.
  1. The situation
  2. The issues
  3. The path

02 · Service assessment

Go straight to the assessment.

If you already know this service is the one, we start with the six stages below.

  1. 01Interviews with management
  2. 02Mapping of the data ecosystem
  3. 03Study of the sources
  4. 04Review of indicators and the semantic model
  5. 05Analysis of report use
  6. 06Priorities and an initial action plan
Request the Business Intelligence assessment