Data management consultant for UK SMEs that need trustworthy operational data.

Data management consultant for UK SMEs

Digital Adaption helps SMEs clean master data, define ownership, fix data quality issues, and create the governance needed for ERP, CRM, finance, reporting, automation, and migration work.

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Typical data problems fixed

✓ Duplicate customers, suppliers, products, or locations ✓ Fields nobody owns but every report depends on ✓ ERP, CRM, spreadsheets, and finance files saying different things ✓ Dashboards exposing data issues instead of solving them

What data management means in practice

This is not abstract governance. It is the operational work that stops bad records, unclear ownership, and inconsistent definitions from derailing projects.

Master data cleanup

Customer, supplier, product, item, location, and finance reference data checked for duplicates, gaps, inconsistent naming, missing owners, and unclear rules.

Data ownership

Every important field needs a business owner, a source system, an update route, and an escalation path when the number looks wrong.

Reporting readiness

Power BI, ERP reports, and automation only work when the underlying data is stable. I fix the source logic before polishing the dashboard.

Useful before migration, automation, or BI work

Data management is usually the missing workstream between “we need a new system” and “why does the new system contain the old mess?”

Before system migration

• Decide what moves, what is archived, and what is corrected.
• Map source fields to target fields.
• Create validation checks before cutover.

Before automation

• Remove ambiguous fields from approval and workflow logic.
• Define exception handling.
• Make sure automated decisions use controlled data.

Before reporting

• Agree KPI definitions.
• Separate source issues from model issues.
• Create a practical data-quality backlog.

The working process

A short, practical engagement can create the data controls most SMEs are missing.

1

Map

Identify systems, files, owners, flows, and pain points.

2

Measure

Run checks for duplicates, blanks, invalid values, and conflicting definitions.

3

Prioritise

Turn issues into a ranked backlog with commercial risk and delivery effort.

4

Control

Put owners, rules, checks, and reporting handoffs in place.

Data quality resources

Use these pages when data ownership, quality or reporting confidence is blocking a system change.

Data management consultant UK

Practical data ownership, master-data cleanup and reporting-readiness support for UK SMEs.

Data quality consultant UK

Focused support for duplicates, bad master data, ownership gaps, reporting defects and cleanup priorities.

Data quality audit checklist

A simple checklist for finding duplicates, missing owners, inconsistent values and risky spreadsheet workarounds.

Month-end reporting scenario

How unclear ownership and spreadsheet reporting drag can be turned into a controlled finance data backlog.

ERP Data Migration Readiness Review

A focused offer for turning data quality findings into cutover-safe migration evidence.

Post Go-Live Reporting Rescue

For teams whose ERP or Power BI reports expose source-data and definition problems after go-live.

Need cleaner data before your next system change?

Send the messy version. I will help work out what needs cleaning, what needs owning, and what can safely move forward.

Start a data review Start with a 30-minute data risk call