Spend data classification & supplier normalisation

Make your data work harder for you by getting The Classification Guru to normalise and classify your data. With neater, tidier data, you’ll be able to find information more quickly, run reports more efficiently and easily identify cost savings and rogue spending. What’s not to love?

Our flagship service follows a two-step process. We start by normalising your suppliers and then go on to classify your data using an existing or customised taxonomy.

Spend taxonomy customisation

Using an off-the-peg taxonomy might look like a compromise worth making. Still, if you’re struggling with inaccurate reporting, ambiguous categorisations and terminology no one understands, it’s time to invest in a customised taxonomy.

We build your custom taxonomy while classifying your data. This means you get an accurate taxonomy that’s 100% relevant to you and what you do.

Vendor master cleaning

Are you implementing a new P2P system and need a master record for each supplier? If you have multiple records or accounts for your current suppliers with incorrect or missing information and multiple payment terms, you need our help!

We’ll help you merge your databases, identify the missing or incomplete information and deduplicate your records, giving you a single source of information everyone can rely on.

Data cleaning

Do you need help with duplicate records, full names in a single column, addresses that need to be better formatted with missing information, phone numbers with spaces, without spaces, with or without the dialling code, or missing the leading 0?

It’s a nightmare, but it doesn’t need to be. Even if you’ve got challenges like this across multiple ERP or CRM systems – or aren’t sure how much of a problem you have – we’re here to help.

Data diagnostic & readiness review

Our Data Diagnostic service provides a structured, independent review of your data to assess its overall health, quality, and readiness for reporting, analytics, and AI. We examine how your data is structured, formatted, classified, and governed, identifying common issues such as inconsistencies, duplication, gaps, and unclear standards.

You’ll receive clear, actionable insights that explain what’s wrong, why it matters, and where to focus first. Rather than a long technical report, the output is a practical set of findings and priorities that help you reduce risk, improve confidence in your data, and decide the next best steps, whether that’s cleaning, governance, tooling, or process change.

Self-service supplier normalisation without the effort

We built Samification for teams who want to build their in-house expertise. It’s a self-service supplier normalisation and data standardisation platform that uses the same expertise and standards we apply in our client work. Use it to quickly identify duplicate suppliers, standardise naming conventions, and create consistent, analysis-ready data without manual effort.

Powered by a maintained supplier master list and expert-led rules, Samification gives you fast, scalable results while keeping you in control. It’s perfect for teams that want to clean supplier data in-house, prepare data for analytics or AI, or maintain data quality between larger classification projects.

Whether you’re starting small or scaling fast, Samification gives you a practical, cost-effective way to improve supplier data quality, with the confidence that it’s grounded in real classification expertise.