For UK charities & small organisations Practical data cleanup support

Clean, reliable donor, customer and contact data

Data Resource One helps charities and small organisations identify and fix messy donor, customer, supporter, volunteer and operational data — including duplicates, missing information, inconsistent formatting and unreliable exports.

✅ Practical and straightforward 🔒 Secure handling of data 📁 CSV and CRM export support

How poor data creates extra work

Poor quality data leads to extra admin, unreliable reporting and wasted communication. Small inconsistencies can quickly become bigger operational problems over time.

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Better communication

Reduce duplicate contact records, outdated details and inconsistent lists that affect campaigns and outreach.

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More reliable reporting

Improve confidence in reporting for trustees, funders, managers and internal teams.

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Cleaner day-to-day operations

Spend less time manually fixing spreadsheets and exports before every campaign or report.

Common problems we help identify

Many organisations experience the same recurring data quality issues.

🧩 Duplicate and fragmented records

  • Multiple versions of the same contact.
  • Data spread across spreadsheets and systems.
  • Different teams maintaining separate lists.

🧼 Inconsistent formatting

  • Different naming formats.
  • Incomplete addresses and contact fields.
  • Old or unreliable records.

⏳ Time pressure

  • No dedicated data specialist.
  • Manual cleanup before campaigns.
  • Repeated “fire-fighting” around reporting.

📁 Difficult exports and reporting

  • Messy CRM exports.
  • Spreadsheet inconsistencies.
  • Low confidence in reporting numbers.

What you receive

We keep the output practical and easy to understand.

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Data quality report

A clear summary of duplicates, missing fields, formatting inconsistencies and other key issues identified.

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Cleaned dataset

A cleaned and standardised version of the agreed dataset where appropriate.

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Recommendations

Simple recommendations to help reduce recurring data quality issues in future.

How it works

A simple and secure process focused on practical outcomes.

1
Initial request Tell us about the dataset and the problems you’re experiencing.
2
Review and scope We review your request and agree whether a data quality review is useful.
3
Audit and cleanup If agreed, we review the data, identify issues and carry out practical cleanup work.
4
Delivery and deletion We return the agreed outputs and securely remove working copies after completion.

Request a data quality review

If you’re dealing with duplicate records, inconsistent spreadsheets, unreliable CRM exports or other data quality issues, start with a short request.

Start request