Productised Accelerator

Data Quality Baseline

Is your data good enough for AI? A 2-week targeted assessment scoring data quality across 6 dimensions, surfacing quick wins, and providing a clean-up plan your team can execute.

POA

AI is only as good as the data it runs on.

Before you invest in AI tools, Copilot, or custom solutions, you need to know: is my data clean enough? This assessment gives you a scored, evidence-based answer in 2 weeks — and a remediation plan your team can execute without us.

Duration: 2 weeks elapsed. 3–5 senior days, 3–5 graduate days.

What you get

6-Dimension Scoring

Completeness, accuracy, consistency, timeliness, uniqueness, validity — scored with evidence for each dimension.

Source System Mapping

Critical data sources mapped against your AI use-case requirements to identify the gaps that matter most.

Root-Cause Analysis

For each material issue: why it exists, what it costs you in AI terms, and what it takes to fix.

Quick Wins Identified

Data quality fixes you can implement this month — before any major data engineering investment is needed.

Deliverables

1
Data quality baseline report with scored dimensions
2
Critical issue register with root-cause analysis
3
Prioritised remediation backlog with effort estimates
4
Quick-win recommendations

What this doesn't include

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