Without trusted data, activation is just guesswork.
Most companies have a warehouse, an ERP, three analytics tools, ten dashboards, and zero agreement on what a customer is. Some are drowning in fragmented, duplicated records; others are buried under years of brittle legacy pipelines that cost more to maintain than they return. Data is the layer that decides whether everything downstream, activation, optimization, even the experience itself, runs on one trusted record or on five conflicting ones.
We fix the foundation before we buy the platform.
Most estates hold the same raw material spread across the CRM, analytics, ERP, and a dozen external systems, often tangled in custom pipelines that cost more to run than they return. A CDP will not save you. The work is upstream: resolve identity, agree definitions, cleanse the data, retire the pipelines that no longer earn their keep.
Feed a CDP duplicated, ungoverned data and it just produces the same mess faster, at higher cost. The order that works is the opposite: fix the foundation, then choose the platform. The platform is the last decision, not the first.
So we start by mapping where data lives and how it moves: who owns which record, where it syncs, where the same customer fractures into different identities. A strong data layer comes down to three things: governance, quality, and accessibility. Get those right, and no platform has to work hard.
In practice, the same few signals tell us where the foundation is breaking, and each one points to a specific move.
The same customer appears under different identities in every system, and no one can produce a single trusted profile.
We design identity resolution that stitches anonymous and known activity into one profile, so every system is talking about the same person.
Global sports brand: messy event and athlete data unified into one governed model with unique IDs.
Audiences are built by hand from static exports, so activation always runs on stale data.
We replace manual pulls with governed pipelines that keep data current, so segments reflect what a customer did today, not last month.
Global software leader: brittle legacy pipelines retired, data moved onto modern governed platforms.
Each team defines the core numbers differently, so no report is fully trusted and decisions stall.
We establish shared definitions, ownership, and governance, so a metric means the same thing everywhere and people act on it.
Multi-brand manufacturer: one governed system of record across brands, with clear ownership and dedup.
The warehouse is an archive: it reports on the past but cannot power a live experience.
We model the foundation for access and activation, connecting it to the systems that personalize and engage, so data becomes action, not just a dashboard.
Global membership platform: a reporting-only data lake reframed toward real-time activation.
Buying the platform is the easy part. Earning data people will actually trust is the work.
The capabilities that live in this layer.
Data draws on strategy, data engineering, and integration.
What this looks like in the work.
We embed data engineers inside Red Hat's data organization, modernizing the marketing data infrastructure behind a global software leader. Brittle legacy pipelines are retired and core capabilities moved onto modern platforms, so their teams build new data and AI products on a foundation they trust rather than maintain.
Legacy pipelines retired, foundation modernized.
Case page coming soon
55+ countriesFor a global sports brand across 55+ countries, event and athlete data was held together by brittle syncs that duplicated records and broke quietly. We replaced them with a governed, event-driven model and standardized identifiers, creating the single source of truth automation and segmentation depend on.
One governed source of truth.
Read the case
As part of rebuilding the university's digital experience, we built the data layer beneath it: a unified foundation that brought analytics, CRM, and form data into one view, so the institution could understand and guide prospective students instead of guessing. The experience and the data behind it were designed as one system.
Analytics, CRM, and forms, unified.
Read the caseNext: the Activation layer →
A trusted data foundation is what turns activation from guesswork into precision. When a customer is one identity instead of five, the next layer can finally act on it: the right message, to the right person, at the right moment. Get the data right, and Activation has something solid to stand on.
Is your data a foundation, or just storage?
That is the question we answer first. We will map your data estate, find where identity and trust break down, and tell you honestly what to fix, and in what order, before you buy anything.