The data quality experts
The Classification Guru provides expert data classification, data cleansing, and data normalisation services to organisations worldwide. Founded in 2017, we have over 30 years of combined experience and have supported more than 100 organisations in improving data quality across procurement, finance, sales, and marketing systems, in multiple languages and regions.
Our specialist team applies the COAT framework to ensure data is consistent, organised, accurate, and trustworthy. We work with supplier data, spend data, CRM and ERP data, identifying errors, duplicates, and inconsistencies that undermine reporting, analytics, AI, and decision-making.
We also deliver data diagnostics and database cleansing services, giving organisations a clear view of data quality before system implementations such as CRM, ERP, or P2P, and a practical roadmap to fix issues quickly and sustainably.
We help you:
✔ Improve data quality through accurate data classification and cleansing
✔ Create reliable, decision-ready data for reporting, analytics, and AI
✔ Reduce risk, save time, and improve operational efficiency
What makes us different
We are human-led data classification and data cleansing specialists, combining expert judgement with specialist software and our proven COAT framework. Our work gives you confidence that your data is consistent, organised, accurate, and trustworthy – the foundations that AI, analytics, and automation need to work effectively.
We don’t just deliver clean, decision-ready datasets. We also create high-quality, validated training data to support future AI and automated classification initiatives. We fix your structure, standards, and classification upfront, so you can reduce risk, improve AI performance and stop automating poor-quality data.
The Classification Guru and AI
AI isn’t a threat to what we do; it relies on it. Machine learning and automation are only as good as the data they’re trained on – poor-quality data creates faster, more confident errors.
Our work complements AI by providing clean, accurate, and consistently classified datasets suitable for training data. By fixing data quality first, we help organisations introduce automation and AI more confidently, avoiding the risk of scaling dirty data. If you’d like to explore this further, read our blog where we share our thinking on AI, automation and data classification.
Meet the original Classification Guru
Susan Walsh is a globally recognised expert in data classification, taxonomy design, and data cleansing, and the creator of the COAT framework, the methodology that underpins all of our work. With over a decade of hands-on experience fixing dirty data, Susan helps organisations turn inconsistent, unreliable data into structured, trustworthy information they can confidently use for reporting, analytics, and AI.
Susan founded The Classification Guru in 2017 and has since supported more than 100 organisations worldwide across procurement, finance, sales, and marketing. Known for bringing clarity to complex data problems, she helps teams work more efficiently, reduce risk, and make better business decisions by fixing the data at its source.
An established industry thought leader, Susan is a TEDx speaker and the author of two books: Between the Spreadsheets: Classifying and Fixing Dirty Data, and Optimizing Sales and Marketing Data. She speaks globally at leading events including ProcureCon, Big Data LDN, and Big Data & AI World, where she’s known for cutting through jargon and explaining data quality in a practical, engaging, and refreshingly honest way.
Connect with Susan on social media to follow her work, insights, and straight-talking views on data, governance, and AI.
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 our services or how we work, contact us using the form below.
