Creatives Data
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Data / Data IntegrationData practice since 2018
SchemasMappedReconciled

Unify the schemas, reconcile every record.

Fragmented systems hold the same entity in different shapes, so a customer or product means one thing here and another there. Data integration aligns those schemas, maps field to field and reconciles source against target, so the business reads one governed record instead of arguing over which system is right.

SchemasField mappingReconciliationMaster dataMigrationGovernance
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Brands we have shapedCAINDEZBAK30 international design awards
Data integrationSchema · v1
One schemaAssess · Map · Reconcile · Govern
Brands we have shaped
Crispy AsianInsperaDeylarZubyArzu KaprolWhite Istanbul Photography
What data integration covers

Mapping before merging.

Connecting systems is not the hard part, agreeing what the data means is. We assess each source schema, map fields to a target model and reconcile records, so a single source of truth is built on definitions rather than hope.

  • 01 · AssessThe base

    Schema assessment

    Every source schema audited and its data flow mapped, so integration is designed as infrastructure before a single field is moved.

    What you get
    • System audit
    • Schema review
    • Flow mapping
    • Model selection
  • 02 · MapThe bridge

    Field mapping and transformation

    Fields mapped source to target with cleansing, normalisation and business rules, so records arrive analytics ready rather than raw and conflicting.

    What you get
    • Field mapping
    • Normalisation
    • Business rules
    • Standardisation
  • 03 · ReconcileThe truth

    Reconciliation and master data

    Source reconciled against target and key entities like customer, product and vendor deduplicated into one controlled record, so the business shares one definition.

    What you get
    • Reconciliation
    • Deduplication
    • Master data
    • Single record
  • 04 · GovernBuilt to last

    Migration and governance

    Structured migration with validation and governance keeps the unified layer consistent as systems change, so integration holds rather than drifting back into silos.

    What you get
    • Data mapping
    • Validation
    • Migration
    • Governance
The mapping, on one page

Source, mapping, target.

Source schemas are mapped field by field to a target model and reconciled, so records converge on one governed definition rather than staying scattered across systems.

Schemas and mapping
SchemasSource
FieldsMap
TargetsReconcile
Controls
mapvalidatereconcile
Schema mapping
Schema mapping · schemas, fields, targetsCreatives Data · data team
How we work

How we unify data.

A path from schema assessment to governance, so a single source of truth rests on mapped definitions rather than a fresh connector each time.

  • 1

    Schema assessment

    Source systems, schemas and data flows audited and modelled.

    Assessed
  • 2

    Field mapping

    Fields mapped source to target with cleansing and rules.

    Mapped
  • 3

    Reconciliation

    Records reconciled and key entities deduplicated into one record.

    Reconciled
  • 4

    Migrate and govern

    Validated migration and governance keep the layer consistent.

    Governed
What we build

Integration, record by record.

View all work →
  • Schema alignment

    Schema alignment

    Source schemas mapped field to field onto a target model.

    SchemasMapping
  • Source to target reconciliation

    Source to target reconciliation

    Records reconciled so source and target agree.

    ReconcileValidation
  • Master data unification

    Master data unification

    Customers, products and vendors deduplicated into one record.

    Master dataDedup
  • Legacy migration

    Legacy migration

    Structured, validated migration with minimal disruption.

    MigrationLegacy
Recognition

Work that gets noticed.

  • Awards
    30

    International design awards

    Including Communicator, Davey, W3 Gold and Silver, Horizon and London Design Awards.

  • Scope
    End to end

    Schema to record

    Assessment, mapping, reconciliation and governance, delivered by one team.

  • Approach
    Definition first

    One record

    We agree what data means, so the unified layer holds rather than drifts.

We reconcile records, not just connect systems.

Creatives Data · data team
Related services

Where data integration goes next.

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Pick a way to begin

Three ways to start.

Let us unify your data into one record.

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