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Master data drift breaks every digital initiative

Units don't match, SKUs are duplicated, BOMs are wrong, so teams ignore the system and use shadow spreadsheets.

Today, and with Frontlink.

Today

Shadow spreadsheets with 'the planner's version', manual unit conversions, and workarounds for every mismatch.

With FrontlinkOperational master data layer with guardrails and incremental improvement
  1. Frontlink maintains an operational master data layer: product tags, ideal rates, UoM conversions, changeover families, separate from ERP master data but synced where needed.
  2. Validation rules and duplicate detection catch common errors at entry time, before they corrupt downstream calculations.
  3. Import wizards guide users through bulk data loading with validation, mapping, and error reporting.
  4. Machine counters help infer ideal rates and highlight inconsistencies, if the counter says 120 units/hour but the master says 200, the system flags it.
  5. Audit trail tracks who changed what and when, so master data changes are transparent and reversible.
Time to value
1–2 weeks
Complexity
Medium
Works with machine counters
Partial

The problem

  1. Who feels it most

    Planners, finance trying to report KPIs, and anyone who depends on accurate product, BOM, or rate data.

  2. Why ERP / WMS doesn't solve it

    ERP can hold master data, but SMEs often can't maintain it. Data governance is weak, changes happen faster than updates, and there's no operational feedback loop.

  3. How common is this?

    Manufacturing organisations regularly report data quality issues impacting operations. Industry commentary highlights significant downtime and waste attributable to poor master data.

Business impact

  1. Wrong schedules, wrong inventory levels, wrong cost calculations, cascading from bad master data
  2. Lost trust in systems, teams revert to spreadsheets
  3. Every new digital tool fails if master data isn't credible

Frequently asked questions.

Who typically feels this problem?

Planners, finance trying to report KPIs, and anyone who depends on accurate product, BOM, or rate data.

Why doesn't an ERP or WMS system solve this?

ERP can hold master data, but SMEs often can't maintain it. Data governance is weak, changes happen faster than updates, and there's no operational feedback loop.

How does Frontlink solve this?

Operational master data layer with guardrails and incremental improvement. Frontlink maintains an operational master data layer: product tags, ideal rates, UoM conversions, changeover families, separate from ERP master data but synced where needed. Validation rules and duplicate detection catch common errors at entry time, before they corrupt downstream calculations. Import wizards guide users through bulk data loading with validation, mapping, and error reporting. Machine counters help infer ideal rates and highlight inconsistencies, if the counter says 120 units/hour but the master says 200, the system flags it. Audit trail tracks who changed what and when, so master data changes are transparent and reversible.

How quickly does it deliver value?

Typical time to value: 1–2 weeks. Implementation complexity: Medium.

Which process takes you the most time?

Book a 30-minute call. We look at your own examples together.

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