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Data Quality.

High-quality data gives your teams confidence — and every decision a solid foundation.

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Data you can trust.
Decisions you can back.

Every decision relies on the quality of your data — from fundraising campaigns and marketing to compliance and customer service. Our data quality services check, standardise, and re-format your records so every team has the full, trusted picture they need — helping them act faster, smarter, and with more confidence.

What we cover

The steps we take to standardise, structure and strengthen your data.

Error correction

We fix inaccurate or incomplete records to improve overall data integrity. That means fewer errors — and more confidence in every field.

Standardisation​

We bring structure and consistency to your data using recognised formats and rules — making it easier to process, report on and use across systems.

Seamless delivery

You’ll receive structured, cleaned data in a format that fits your system — tailored to your workflows and ready to use straight away.

Support every step of the way

From setup to final checks, we’re on hand to help. Clear communication, quick answers and a flexible, friendly approach — every step of the way.

Ongoing quality control

Need your data to stay in great shape? We offer regular updates and quality monitoring to help you stay compliant and campaign-ready.

Why choose us to improve your data quality?

We create tailored data quality plans built around your specific systems and goals, ensuring the solution aligns with your organisation’s needs. Your data is delivered ready to use, clean, accurate, and structured to support better segmentation, reporting, and analysis.

Our focus is on building a single, trusted source of truth that unifies teams and enables confident decision-making. By providing well-formatted, reliable data, we also enhance the user experience, making it easier for your teams to report, analyse, and act with clarity.

Don't just take our word for it...

"❝It was great to work with the team at Migrate Data on our move from Raisers’ Edge to Salesforce - we simply couldn't have done it without them. Mikaela bought a high level of expertise and in-depth understanding to our data, helping us extract the key information from Raisers’ Edge and map it onto the new structures in Salesforce. No detail was too small, or problem too complicated! Alongside the technical expertise, we had clear communication throughout, and a helpful and flexible attitude in meeting our moving deadlines. The migration has been clean and comprehensive, and it has been a big relief to start on Salesforce knowing that our data is in excellent state.❞"
Ollie Brown
Ollie BrownThe Christian Unions
"In our experience, Migrate Data (we worked with Chris and George), were knowledgeable about both Raisers Edge and Salesforce. They were calm, responsive, spoke in our (non-techy) language, kept to budget and timelines. They were easy and friendly to work with, we had regular check in meetings which were very reassuring. Nothing was insurmountable for them and so from our experience we would recommend Migrate Data to support your CRM move from Raisers Edge to Salesforce and would be prepared to chat this through with any potential clients."
Sue Bowles
Sue BowlesFishermens Mission
"Im writing to convey our thanks to you and your colleagues for the excellent support BWC received from Migrate during our recent Salesforce implementation project. Feedback from our project manager Nadine throughout the project was that the Migrate team provided an unfailingly expert and responsive service, that on occasion went above and beyond reasonable expectations. The success of our programme is due in no small part to your contributions. Thank you. I would be grateful if you would convey our thanks to your colleagues on my behalf."
Simon Ashmore
Simon AshmoreBWC

Need help improving your data quality?

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Frequently asked questions.

Data quality refers to the accuracy, completeness, consistency, reliability, and relevance of data for its intended purpose. High-quality data supports effective decision-making, while poor-quality data can lead to errors, inefficiencies, and risk.

  • Data cleansing removes or corrects incorrect, incomplete, or irrelevant data.
  • Data standardisation formats data into a consistent structure (e.g., formatting dates or country names).

Data standardisation ensures that data is presented in a consistent, predictable format. This helps in:

  • Reducing duplication
  • Simplifying data analysis and reporting
  • Supporting data integration across systems
  • Enabling regulatory compliance
  • Misleading analysis and reporting
  • Compliance failures and regulatory penalties
  • Poor customer experience
  • Inefficiencies in operations
  • Increased costs due to rework and manual correction
  • Ensures Compatibility with the New System
  • Reduces Duplicates and Fragmentation
  • Improves Data Mapping Accuracy
  • Minimises Manual Fixes Post-Migration
  • Enhances Data Quality from Day One after Go Live
  • Improves Matching and Linking
  • Supports Regulatory Compliance
  • Boosts Automation and Workflows