[Elements] · Data & integration
The data foundation
everything else runs on.
Common data models, governance, pipelines, and AI-readiness infrastructure.
We don't build dashboards on broken foundations — we fix the foundation first,
then make sure every system speaks the same language.
prodct/units/elements.config
1// unit.config
2unit: "[Elements]"
3focus="data foundation & integration"
4for=CTOs · CDOs · CIOs · Data leads
5team=data architects, integration eng
6governance=GDPR · Microsoft Purview
7integrates=ERP · PIM · commerce · CRM
8model=harmonize → integrate → govern
// the problem
Every system has the truth. None of them agree.
Your ERP knows the product one way. Your PIM knows it another.
Commerce has a third version, and the CRM invented its own fields.
AI initiatives stall because the data isn't trusted. Reports
take weeks because nobody owns the definition of "active customer".
We don't paper over this with another dashboard. We build the common
data model, the governance around it, and the pipelines that keep
it clean — so the rest of your stack actually compounds.
Zero-downtime migrations, auditable trails, AI-ready on day one.
// engagement model
Five phases. No cowboy migrations.
From system assessment to governed operations — with every field mapped, every migration rehearsed, and zero data loss on the cutover.
01AssessMap the systems, the owners, and the contradictions. Honest baseline.
02ModelCommon data model, naming, governance. One definition per concept.
03IntegrateAPIs, events, pipelines. ERP ↔ PIM ↔ commerce ↔ CRM wired cleanly.
04MigrateRehearsed cutover, shadow runs, rollback plan. Zero-downtime by default.
05GovernPurview-based GDPR, lineage, quality monitoring, handover.
// capabilities
What we build.
01Common data model design — one source of truth across ERP, PIM, commerce, and CRM.
02Data governance & GDPR frameworks built on Microsoft Purview — lineage, classification, audit.
03API development and system integration — REST, GraphQL, event-driven, webhooks.
04Zero-downtime migrations — shadow runs, dual writes, flag-driven cutovers.
05AI-readiness infrastructure — embeddings, vector stores, retrieval pipelines on clean data.
06Proprietary harmonization service — turn 12 legacy feeds into one normalized stream.
// tech stack
Governance-grade, not weekend-project.
The same tools banks and regulated enterprises use — chosen because they survive audits, not because they trend.
// when clients call us
Typical situations.
01"We want to launch AI features but our data is a mess."→ data model
02"Every department has its own definition of 'customer'."→ harmonization
03"We need to migrate off SAP — without three months of downtime."→ zero-downtime
04"Our legal team wants GDPR lineage. Nobody can produce it."→ Purview
05"The reports take three weeks because nobody trusts the source."→ governance
// why prodct [Elements]
We fix the foundation, not the symptom.
Most consultancies will happily build a dashboard on top of broken data.
We don't. We'll tell you the uncomfortable thing first — that the CRM
and the ERP disagree about which customers exist — and then we'll fix it.
We've run zero-downtime cutovers across eleven markets, harmonized twelve
legacy feeds into one stream, and built GDPR lineage for enterprises that
get audited. Then we hand it over — with runbooks, monitoring, and people
who can run it without us.