A sales team prepares a campaign for a new market, only to find that hundreds of CRM contacts have outdated job titles or invalid email addresses. Before the campaign can launch, someone must correct the records and check which contacts remain usable.
For UK and EU businesses, poor data quality creates commercial and governance concerns. Inaccurate records waste campaign budgets, while data protection laws require organisations to take appropriate steps to maintain personal data accuracy.
Outsourcing data cleansing gives businesses access to specialist support without requiring internal teams to manage every record themselves. From controlling operational costs to maintaining CRM accuracy, here are five reasons UK and EU companies are considering external providers.
Why UK and EU companies are outsourcing data cleansing
The decision to outsource often comes down to the cost of maintaining data internally, the capacity available to handle large databases and the need for reliable records. UK and EU buyers must also assess how an external provider will handle personal data and meet their organisation’s security requirements.
1. Support GDPR-related data accuracy and governance
For UK and EU organisations, data accuracy is part of responsible personal data management. Article 5 of the UK GDPR and EU GDPR requires personal data to be accurate and, where necessary, kept up to date. Organisations must take reasonable steps to correct or erase inaccurate information without delay, considering the purpose for which it is processed. (source: UK Information Commissioner’s Office)
Maintaining accurate records becomes difficult when contacts change jobs or information enters the CRM through several channels. A company might retain an old business email address long after an employee has moved on. Another record might contain conflicting company details from different imports.
Professional data cleansing services can help identify duplicates, standardise fields and flag information that needs further verification. A documented process also gives internal teams a clearer view of which records were changed and which require manual review.
Outsourcing does not automatically make a business GDPR-compliant. Companies must assess the provider’s security controls and processing arrangements. They should also establish appropriate contractual terms covering access, retention and deletion. Where a provider acts as a processor, the client retains its responsibilities as the controller.
What to check: Ask the provider how it records changes and handles information that cannot be verified. Confirm where data will be processed and how access will be controlled.
2. Control the cost of maintaining clean data
Internal data cleansing outsourcing costs can be difficult to assess until businesses calculate the time spent correcting records. Marketing operations and CRM teams may devote working hours to removing duplicates or preparing lists before campaigns. Hiring additional staff adds recruitment and employment costs.
Eurostat estimated average hourly labour costs across the EU at €34.90 in 2025. The figure includes wages and non-wage costs across the wider economy, not data cleansing roles specifically. National averages varied considerably, from €12.00 in Bulgaria to €56.80 in Luxembourg. (Source: Eurostat)
These figures provide context for evaluating internal delivery costs. A useful comparison should include staff time, software licences and quality assurance, alongside the provider’s fees.
For example, a company that prepares a large CRM list before each quarterly campaign may repeatedly pay internal staff to correct the same types of errors. An external provider could manage the agreed cleansing workload, leaving the internal team to focus on campaign planning and analysis.
What to check: Request a clear breakdown of the provider’s fees. Compare the cost per usable record, taking account of validation depth and the work required after delivery.
3. Access specialist capacity without expanding the team
Large data projects can overwhelm existing teams. A CRM migration, acquisition or expansion into another European market may introduce thousands of records that need checking before they can be used.
Experian UK’s 2025 research found that 75% of surveyed organisations reported a shortage of skilled analysts. Its research also identified difficulties associated with distributed data and tools that could not handle existing data volumes.
An outsourced data cleansing team can provide additional capacity for a defined project or recurring workload. Specialists can work through duplicates, standardise fields and validate contact details against agreed rules. Internal employees can then focus on business decisions that require their knowledge.
Consider a business consolidating several regional databases into one CRM. The records may use different naming conventions, contain missing fields or list the same company more than once. A cleansing team can process the agreed dataset before migration, while internal CRM owners approve the rules for matching and merging records.
What to check: Agree on turnaround times and quality checks before work begins. Ask how the provider handles exceptions and whether it can accommodate changes in volume.
4. Improve CRM reliability and campaign performance
Poor-quality CRM data can affect campaign performance before a team realises that its database is the problem. Duplicate contacts inflate audience counts, while outdated job titles can direct outreach towards people who no longer hold the relevant roles.
Experian’s 2026 survey of 250 UK B2B sales and marketing decision-makers found that 95% had experienced at least one commercial consequence from poor-quality business data during the previous year. Some 39% reported wasted budget reaching outdated contacts or companies, while 30% said a campaign had significantly underperformed. (Source: Experian UK)
Effective CRM data cleansing helps teams identify these problems before launching campaigns. Removing duplicate records improves database consistency. Validating contact details helps teams identify records that need correction, while standardised company fields support more reliable segmentation.
For sales teams, accurate job titles and company information can also reduce time spent checking whether a prospect belongs on a target account list.
Datamatics Business Solutions (DBSL) offers B2B data cleansing services that include data health audits, AI-driven validation and human verification. Its published service information also covers CRM-ready data delivery for platforms such as Salesforce, HubSpot and Microsoft Dynamics.
What to check: Define acceptance criteria before the project starts. Track duplicate rates and the proportion of records with valid contact details. Review campaign performance separately to assess whether better data contributes to improved results.
5. Maintain data quality as the business grows
A one-off clean-up can resolve a backlog, but new errors continue to enter a CRM. Contacts change jobs, new leads arrive through different channels and regional teams may use inconsistent field formats.
Businesses operating across several markets can face additional challenges. One team may record a company’s full legal name, while another uses an abbreviation. Without agreed standards, both records may remain in the database and distort account reporting.
Ongoing data cleansing gives businesses a structured way to manage recurring quality issues. Depending on the agreement, a provider may perform scheduled reviews, validate new records or flag information that needs further investigation.
DBSL’s published case study describes a project for a global SaaS provider that involved delivering two million opt-in B2B data records across multiple industries and geographies. The work addressed data quality, segmentation and turnaround requirements. The case demonstrates experience with large-scale data delivery, although it is not identified as a UK- or EU-specific cleansing engagement. Read the case study.
What to check: Decide whether your business needs a one-off project or recurring support. Agree on review frequency, reporting requirements and responsibility for unresolved records.
How to choose a data cleansing provider
Choosing a data cleansing provider requires more than comparing prices. UK and EU businesses should check how the supplier handles data and how its process fits existing systems.
Assess these areas before signing an agreement:
- Data protection: Review processing arrangements, security controls and retention policies.
- Cleansing methodology: Ask how duplicates, invalid fields and unverifiable records are handled.
- CRM compatibility: Confirm that the output matches your field structure and import requirements.
- Quality assurance: Agree on acceptance criteria and exception reporting.
- Commercial scope: Confirm pricing, turnaround times and the terms for recurring support.
A pilot using a representative sample can help test the provider’s process before you commit a larger database. Ask your CRM team to review the output against agreed standards and identify errors that could affect day-to-day use.
How Datamatics Business Solutions supports data cleansing
DBSL provides data cleansing solutions through its B2B Data Solutions services. Its published methodology includes data health audits, record cleansing, AI-driven validation, human verification and standardised data delivery.
The company also publishes international case evidence, including its work delivering two million B2B records for a global SaaS provider. Businesses should assess the scope and outcomes of each case against their own requirements rather than assume that every engagement delivers the same results.
For organisations evaluating external support, DBSL’s B2B Data Solutions page provides a starting point for discussing database quality and service requirements.
Make data cleansing a practical business investment
For UK and EU companies, outsourcing data cleansing can help address recurring CRM problems while reducing the workload placed on internal teams. The business case depends on clear quality standards, suitable data protection controls and a cost model that fits the volume of work.
Datamatics Business Solutions offers data cleansing support for organisations assessing their database quality. Request a data hygiene check or consultation to discuss your records and identify a suitable scope of work.
- FAQS
Frequently asked questions
1. Why are UK and EU companies outsourcing data cleansing?
UK and EU companies may outsource data cleansing to address CRM inaccuracies, manage growing data volumes and reduce the internal workload associated with record maintenance. Provider selection should include checks on data quality, security and system compatibility.
2. Does outsourcing data cleansing help with GDPR compliance?
3. How much does it cost to outsource data cleansing?
Costs depend on record volume, validation requirements, turnaround times and whether the engagement covers a one-off project or ongoing maintenance. Compare the provider’s fees with internal labour, software and quality assurance costs.
4. How often should a business cleanse its CRM data?
The frequency depends on how quickly records change and how often new contacts enter the system. Businesses with frequent data imports may need more regular checks. Set a schedule based on actual data quality and business requirements.
5. How do you choose a data cleansing company?
Assess the provider’s cleansing methodology, security controls, CRM compatibility and quality reporting. Agree on acceptance criteria and test a representative sample before committing the full database. Confirm pricing and service scope in writing.
