Data Web App in 10 days, fixed price £4,950., £4,950See what's included
Data Cleansing & Quality

Clean, consistent data you can trust

Duplicate customers, inconsistent product codes and incomplete records quietly undermine your reports, marketing and customer service. We audit your data, clean it up and put validation rules in place at the source so it stays clean, which is essential before any system migration or reporting project.

Sound familiar?

The challenges we solve

  • The same customer appears several times with slightly different details.
  • Reports do not add up because of inconsistent codes, categories or formats.
  • Email campaigns bounce or reach the wrong people.
  • You are planning a move to a new system and are worried about bringing old problems with you.

What you get

  • A single, accurate record for each customer, supplier and product.
  • Reports and dashboards built on data you can rely on.
  • Lower costs from fewer failed deliveries, bounced emails and manual corrections.
  • Rules and checks that stop bad data getting back in.
Talk to us about your project
What we deliver

Data Cleansing & Quality, end to end

01

Data quality audit

We profile your data to measure duplicates, missing values and inconsistencies, and give you a clear report of what needs fixing.

02

De-duplication & merging

Matching rules that find duplicate records, even with typos and different formats, and merge them safely.

03

Standardisation

Consistent formats for names, addresses, phone numbers, product codes and categories across your systems.

04

Enrichment & validation

Filling gaps and validating fields such as email addresses and postcodes, so records are complete and usable.

05

Migration preparation

Cleaning and mapping data before a move to a new CRM, ERP or accounting system, so you start fresh.

06

Ongoing data governance

Validation at the point of entry, scheduled quality checks and clear ownership so your data stays clean.

Examples

How businesses use it

CRM clean-up

Merge duplicate contacts and companies and standardise fields before a sales or marketing push.

Product data

Consistent product codes, categories and attributes across e-commerce, stock and finance systems.

System migration

Clean, de-duplicated and correctly mapped data ready to load into a new platform.

Tools & technologies

  • SQL
  • Python (pandas)
  • Power Query
  • Excel
  • Fuzzy matching
  • Data validation rules
How we work

A simple, transparent process

  1. 01

    Discover

    A free consultation to understand your goals, systems and the manual work slowing your team down.

  2. 02

    Design

    A clear plan with scope, timeline and a transparent quote, prioritising the quickest wins first.

  3. 03

    Build

    We build in short iterations, sharing progress regularly so there are no surprises.

  4. 04

    Support & improve

    Training, documentation and ongoing support, with improvements based on real usage.

FAQ

Data Cleansing & Quality: common questions

Can't find your answer? We are happy to talk through your situation.

Ask us a question
How do you avoid deleting the wrong records?

We never delete data blindly. Matches are reviewed using clear rules, merges keep an audit trail, and we work on copies first so every change can be checked and reversed if needed.

Is data cleansing a one-off job?

The initial clean-up is usually a one-off project, but without validation rules data quality declines again over time. We recommend adding checks at the point of entry and periodic reviews.

Can you clean data inside our CRM directly?

Often, yes. Depending on the system, we either clean the data in place through its API or export, clean and re-import it in a controlled way.

How is our data kept secure during the project?

We work with the minimum data needed, use secure and access-controlled environments, and follow UK GDPR principles throughout.

Ready to talk about Data Cleansing & Quality?

Book a free, no-obligation consultation. We will review your current processes and show you where automation and better reporting can save time and money.

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