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Strategic Advisory

Data Strategy & Measurement

Deciding what is worth measuring, defining it once so everyone agrees, and building tracking that survives privacy changes and platform updates.

Aperçu

Most companies measure too much and decide too little. Dashboards proliferate, definitions drift between teams, and nobody trusts the number enough to act on it.

We work backwards from the decisions you make regularly. Each one needs a small number of measures, defined precisely, collected reliably. Everything else is optional, and cutting it makes the rest visible.

À qui cela s'adresse

  • Companies where two teams report different numbers for the same thing
  • Businesses whose tracking broke with a privacy or platform change
  • Teams with plenty of dashboards and no decisions being made from them
Ce qui est inclus

Notre approche de Data Strategy & Measurement

Les travaux précis que couvre une mission type. Le périmètre est convenu d'avance : rien ici ne réapparaîtra plus tard comme une ligne surprise.

  • Decision inventory

    The decisions you actually make and how often. Measurement that does not serve a decision is overhead.

  • Metric definitions

    Each measure defined in one place, in words, including the edge cases. This is what ends the disagreements.

  • Tracking implementation

    Event design and tagging built to be maintainable, with server-side collection where the browser can no longer be relied on.

  • Attribution approach

    A model matched to your sales cycle and honest about its limits. Last click is not wrong so much as narrow.

  • Privacy and consent

    Consent handling and data retention designed in from the start, which is both a legal requirement and a data quality question.

  • Reporting layer

    A small number of reports people actually open, each tied to a decision and a review cadence.

Déroulement

Du premier échange au résultat mesuré

Toujours la même séquence, pour que vous sachiez ce qui vient ensuite.

  1. Audit

    What is tracked now, what is broken, and which numbers are being reported that nobody can reproduce.

  2. Define

    The decision inventory and the measurement framework, agreed with the teams who will have to live with the definitions.

  3. Implement

    Tagging, server-side collection and consent handling, built and validated against known values rather than assumed correct.

  4. Operate

    Reporting, a review rhythm, and monitoring so that when tracking breaks, somebody finds out that week.

Pourquoi cela vaut la peine

Des résultats, pas des livrables

Un empilement de documents n'est pas un progrès. Voici les changements que le travail doit produire.

  • One number per question

    Shared definitions end the meetings that are really arguments about arithmetic.

  • Measurement that lasts

    Server-side collection and proper consent handling mean the next browser change does not erase your data.

  • Fewer dashboards, more use

    Cutting reports nobody opens makes the remaining ones visible and, more importantly, maintained.

  • Faster decisions

    When the number is trusted, the meeting is about what to do rather than whether the data is right.

Questions

Questions fréquentes sur Data Strategy & Measurement

Ce qu'on nous demande avant de nous contacter. Si votre question n'y est pas, posez-la nous directement.

Our analytics broke after a privacy change. Can you fix it?

Usually. That normally means moving critical measurement server-side and rebuilding consent handling so that what you do collect is lawful and complete. It is a common starting point.

Do we need a data warehouse?

Not always. It becomes worthwhile when you need to join marketing data to sales or product data, which is often but not universal. We will say if you do not need one.

How long does implementation take?

Audit and framework in three to four weeks. Implementation depends on how many systems are involved, typically another four to eight.

Which tools do you use?

Whatever you already have, where it is adequate. GA4, server-side tagging, and a warehouse when justified. We do not have a platform to sell you.

Vous réfléchissez à Data Strategy & Measurement ?

Dites-nous ce que vous cherchez à changer. Si nous ne sommes pas les bons interlocuteurs, nous vous le dirons et vous orienterons ailleurs.

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Data Strategy & Measurement accompagne généralement d'autres travaux en Strategy & Consulting. Parcourez tout le domaine pour voir les liens.

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