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Jay Malvern Solution Studio · 03

DataForge

A controlled data-transformation platform for operational processes that have outgrown spreadsheets and manual reconciliation.

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The business problem

A clear operational challenge.

Repeated imports, inconsistent formats and spreadsheet workarounds make important data difficult to validate, reconcile and audit.

Product proposition

A joined-up digital response.

DataForge converts fragile spreadsheet activity into a controlled, repeatable and auditable digital process while preserving useful business flexibility.

Principal capabilities

Designed as a complete product framework.

  • Spreadsheet and CSV import
  • Configurable field mapping
  • Data validation
  • Duplicate detection
  • Standardisation and cleansing
  • Cross-dataset reconciliation
  • Exception management
  • Controlled approval
  • Versioned processing history
  • Quality dashboards
  • Secure database storage
  • Validated exports

Representative user journey

From first input to controlled outcome.

  1. 01

    Import a source file

  2. 02

    Map fields to a controlled model

  3. 03

    Run validation and reconciliation

  4. 04

    Resolve exceptions

  5. 05

    Approve the version

  6. 06

    Export validated records

Reference architecture

System components

01Secure import workspace02Mapping and transformation engine03Validation rules service04Structured data store05Exception and approval workflow06Quality reporting layer

Database and information flow

Source, transformed and approved versions remain traceable, with field-level validation outcomes and controlled export history.

AI approach and human oversight

AI can assist mapping and anomaly explanation where useful, while deterministic validation and human approval govern the final dataset.

Integration approach

Validated exports and APIs can connect finance, operations, CRM or reporting systems using agreed data contracts.

Security and privacy

Access controls, encrypted transfer, version history and approval separation support controlled processing.

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Could DataForge fit your operational challenge?

Discuss how the framework could be configured around your workflows, data, systems and governance requirements.

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