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UK-based • Complex & bespoke data mapping

Data mapping for complex datasets

Bespoke data mapping, standardisation and transformation - for complex data, multi-source data, international data, and the kind of data that breaks templates and automation.

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Source-to-target mapping Crosswalks & schema mapping Cleansing & standardisation Migration-ready outputs Documentation & QA

What we do

We turn inconsistent, undocumented and internationally sourced datasets into clean, well-structured data that teams can actually use: for data migration, ETL, analytics, reporting, or AI preparation.

  • Data mapping services (UK): source-to-target mapping, crosswalk tables, schema and field mapping.
  • Data standardisation: formats, units, code sets, naming conventions, multilingual normalisation.
  • Data cleansing: deduplication, validation, anomaly handling, consistency checks.
  • Data transformation: bespoke logic to make data loadable and analysis-ready.
  • Documentation & QA: data dictionary, mapping workbook, transformation rules, reconciliation report.

How we work

Clear deliverables, no mystery. You get clean outputs and documentation you can reuse.

  1. 1Discovery & profiling. We review samples, profile the data, and define the target structure and success criteria.
  2. 2Mapping specification. We produce source-to-target mapping rules, assumptions, edge cases, and exceptions.
  3. 3Build & QA. We cleanse and transform the data, run validation checks, and reconcile totals/keys.
  4. 4Delivery & handover. You receive clean datasets plus mapping documentation and QA notes.

Deliverables

Choose what you need. We can deliver data only, documentation only, or both.

  • Clean outputs: CSV / Parquet / SQL tables (as required).
  • Mapping workbook: source-to-target fields, transformations, examples.
  • Data dictionary: field definitions, code sets, and notes.
  • Validation report: what changed, what was fixed, what was flagged.
  • Optional scripts/pipeline: repeatable processing (not a black box).

Who we help

Teams that need reliable data for data migration, system change, BI/reporting, data integration and AI preparation — especially when the dataset is messy, foreign, or poorly documented.

Migration & conversion ETL / integration Reporting & BI AI/ML data prep Ongoing data quality