L2 Concerns Detail Editor
Concern #480 | Data Migration and Data Quality Risk Across Disparate Systems
Title
Data Migration and Data Quality Risk Across Disparate Systems
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Description
Consolidating data from many legacy systems across multiple organisations requires extensive cleansing, mapping, and harmonisation to a single data model.
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Origin
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Desired Outcome
A data strategy delivers clean, reconciled, well-governed data with controlled migration waves and measurable data quality thresholds.
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What Could Go Wrong
Bad data enters the new system; reporting is unreliable; payroll/finance processes fail; rework escalates; go-lives are delayed.
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Current Situation
Multiple departments and agencies hold siloed data structures and standards across many systems.
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Strategy Narrative (JSON)
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Proposed Strategy
Set up a dedicated data programme; define ownership and data quality KPIs; perform early data profiling; rehearse migrations; enforce cutover controls and reconciliation.
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Action Strategy (JSON List)
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Cause
Legacy data is inconsistent and not governed to a common standard.
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Event
Migration activities uncover large volumes of dirty/incompatible data and unresolved ownership issues.
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Consequence
Delayed go-live, increased costs, and reduced confidence in the new “single source of truth.”
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Notes
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