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.
The problem
Who feels it most
Planners, finance trying to report KPIs, and anyone who depends on accurate product, BOM, or rate data.
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.
Typical workaround today
Shadow spreadsheets with 'the planner's version', manual unit conversions, and workarounds for every mismatch.
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.
Business impact
Wrong schedules, wrong inventory levels, wrong cost calculations — cascading from bad master data
Lost trust in systems — teams revert to spreadsheets
Every new digital tool fails if master data isn't credible
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.
Ready to solve this?
Book a demo and we'll show you exactly how Frontlink addresses this problem in your environment.