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The Classification Guru. Here to clean up your data
We’re data classification, supplier normalisation, taxonomy development, and data cleaning experts. Use our services and get ready to reduce costs and make better, more informed decisions.
Read our book Between The Spreadsheets
Between the Spreadsheets: Classifying and Fixing Dirty Data
covers everything from the very basics of data classification to normalisation and taxonomies – using the author’s proven COAT methodology to cleanse dirty data for good.
Our data cleansing 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.
Supplier 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.
Make sure your data has its COAT
COAT? No, we haven’t diversified into outerwear. COAT is our method for ensuring you can get the most out of your data. We apply COAT to every data classification project on – it’s what makes our approach more effective and longer-lasting than other classification methods you might be considering.
Why work with The Classification Guru?
Right first time.
Your data is 100% classified, including the tail spend - no shortcuts. You won’t find an “unclassified”, “tail spend”, “misc” or “other” classification that you have to correct further down the line, it will all be accurate, relevant and useful to give you better visibility on your spend data from day one.
This level of accuracy can only come from nearly a decade of classifying spend data, and a further 8 years working in a corporate environment.