Data Editor for BC

A data editing tool for Business Central users to clean, map, validate, and transform datasets before loading into ERP and BI workflows.

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4.9 / 5.0
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About This Tool

The Data Editor BC is a domain-focused tool for teams that prepare data for Business Central ERP and analytics. It centralizes editing, transformation, validation, and mapping of tabular data across CSV, JSON, or other import formats. Users include data engineers, business analysts, and operations staff who cleanse customer, product, and transaction records before ingestion. The tool tracks lineage, supports batch operations, and preserves original records for auditability.
Core logic applies field-level rules, type casting, locale-aware parsing, and schema-aware transformations. Users define source-to-target mappings, specify required fields, and attach validation constraints (ranges, formats, referential checks, and uniqueness). The engine executes in batches, provides a non-destructive preview, and generates an auditable delta report with change-diff visuals.
Advanced capabilities include schema inference, data profiling, and localization-aware formatting for currencies and dates. It supports reusable workflow templates, multi-step transformations, deduplication, and automated data quality scoring. Export options cover CSV, JSON, and BC-compatible payloads, with options for backfill, incremental updates, and versioned exports.
Common use cases include preparing customer master data, product catalogs, vendor records, and transactional extracts for dashboards and ERP integrations. The tool enables reproducible pipelines, predictable data states across environments, and faster onboarding for new data sources. It emphasizes traceability, role-based access, and compliance-friendly audit trails.

How to Use

  1. Provide inputs: upload source dataset and define target schema.
  2. Create field mappings and validation rules.
  3. Run batch processing to generate a live preview and delta.
  4. Apply transformations and re-run validation until clean.
  5. Export the validated dataset to CSV or JSON or BC payload.
  6. Review the audit trail and save the workflow for repeat runs.
How to use data editor tool business central

Frequently Asked Questions

Find Quick Answers

What formats are supported for input and output?
Input datasets can be CSV or JSON, with optional Parquet support via integration. Outputs after processing can be delivered as CSV, JSON, or BC payloads. The tool preserves schema, mappings, and transformations for repeatable runs.
Can I preview edits before applying changes?
Yes, a non-destructive preview shows the effect of each mapping, transformation, and validation rule on sample rows. Users can adjust rules and mappings, re-run the preview, and then apply the final changes.
How does locale handling work?
The engine supports locale-aware parsing and formatting, including date/time formats and currency conventions. Users can set a project locale to ensure consistent interpretation across records and exports.
Is there an audit trail?
All changes, including mappings, validations, and exports, are versioned. The delta report lists edits with timestamps, user IDs, and export history to support compliance and traceability.

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