[Elements] · Daten & Integration
The data foundation
everything else runs on.
Common data models, governance, pipelines, and KI-Readiness-Infrastruktur.
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
// das Problem
Every system has the truth. None of them agree.
Dein ERP kennt das Produkt so. Dein PIM kennt es anders.
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".
Wir überkleben das nicht mit einem weiteren 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-Migrationen, auditable trails, AI-ready on day one.
// Engagement-Modell
Five phases. No cowboy migrations.
Von der System-Analyse bis zum geregelten Betrieb — 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.
// Leistungen
Was wir bauen.
01Datenmodell-Design & Harmonisierung — one source of truth across ERP, PIM, commerce, and CRM.
02Data Governance & DSGVO-Rahmen built on Microsoft Purview — lineage, classification, audit.
03API-Entwicklung and system integration — REST, GraphQL, event-driven, webhooks.
04Zero-Downtime-Migrationen — shadow runs, dual writes, flag-driven cutovers.
05KI-Readiness-Infrastruktur — embeddings, vector stores, retrieval pipelines on clean data.
06Eigener Harmonisierungs-Service — turn 12 legacy feeds into one normalized stream.
// Tech-Stack
Governance-grade, not weekend-project.
Dieselben Tools, die Banken und regulierte Unternehmen nutzen — chosen because they survive audits, not because they trend.
// wenn Kunden uns anrufen
Typische Situationen.
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
// warum prodct [Elements]
We fix the foundation, not the symptom.
Die meisten Beratungen bauen gerne ein Dashboard auf kaputten Daten.
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.
Wir haben Zero-Downtime-Cutovers über elf Märkte hinweg durchgeführt, 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.