Why should I clean my data?
Clean data is healthy data! Here are some of the most important reasons to keep your data clean:
✔ Remove duplicates or near-duplicate accounts
✔ Reduce the chance of contacting the same person multiple times
✔ Save time – your team won’t need to hunt around looking for the right record
✔ You’ll guarantee GDPR compliance
✔ It makes your life easier!
How our data cleaning works
Step 1 – Merging your suppliers
We take your supplier data, from single or multiple file sources, merge them together and standardise the columns
Step 2 – Validate & reformat
We’ll then review your data, reformatting the names, addresses and phone numbers to a uniform standard, and will populate any missing town, county or country information, if available.
Step 3 – Deduplication
Once that’s done, we then deduplicate your data and create a unique record that can be your single source of truth. We’ll even give you a list of the deleted records if you like!
Before Cleaning
After Cleaning
Our Services
Data classification and normalisation
Make your data more visible and easier to report. We’ll save you money by classifying or normalising your data so you know where you’re spending too much, and can identify fraudulent activity and incorrect supplier charges.
Taxonomy customisation
Get the Goldilocks of taxonomies with customised categorisations that are neither too generic nor too specific. We’ll give you analytics-friendly taxonomies in terminology that everyone in your organisation understands.
Vendor master cleaning
Clean up your supplier database to remove conflicting and duplicated information. You’ll be able to send payments to the correct account, on the correct terms, and contact them at the right address.
Data cleaning
Comply with GDPR regulations, save time and improve your processes by keeping your customer data up-to-date, accurate and relevant. Our data cleansing service is also perfect for any organisation planning to change CRM system.
Read Susan's book Between The Spreadsheets
Between the Spreadsheets: Classifying and Fixing Dirty Data covers everything from data classification, normalisation, and taxonomy design, Between the Spreadsheets shows how the COAT framework helps organisations create consistent, trustworthy data.
Get in touch
For more information about how we work or any of our services, feel free to contact us using the form below.