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Spend Analysis 101: How to Build a Spend Taxonomy

Writer: Tickl Ltd
Tickl Ltd
May 12
3 min read

A well-built spend taxonomy makes procurement data easier to classify, analyse and act on.

If your categories are unclear or inconsistent, the reporting built on top of them will be slower, noisier and less useful than it should be.

This guide sets out a practical approach to building a spend taxonomy that is detailed enough to generate insight, but simple enough for teams to use consistently.


Why bother with Spend Taxonomy?

The purpose of a spend taxonomy is not administrative neatness. It is speed, utility and better analysis.

A clear taxonomy helps you identify where money is going, compare suppliers and contracts more effectively, and create reporting that supports category management rather than obscuring it.

Without a robust taxonomy, even basic procurement analysis can become a manual and frustrating exercise. With one, spend data becomes easier to classify, explore and turn into decisions.


Flowchart compares raw spend data to structured taxonomy. Includes spend categories, graph trends, and text insights. Clean, business-focused.
The Anatomy of a Spend Taxonomy

Before you begin a project

1. Decide what you are categorising

Before building anything, be clear whether you are categorising suppliers or line-level spend.

Supplier categorisation is usually the more practical starting point. Line-level categorisation can be much more powerful, but it is also far more demanding and often only realistic when supported by specialist tooling or machine learning.

2. Do not start from scratch

It is usually easier to improve an existing taxonomy than to invent a perfect one from nothing.

Start with a taxonomy you already use, a category framework from your procurement team, or even your chart of accounts, then refine it into something more analytically useful.


While you are building your Spend Taxonomy

Involve category experts

People who manage spend every day will know where the gaps and edge cases are.

Their input is essential if you want a taxonomy that reflects commercial reality rather than a tidy but impractical model. They are also among the people most likely to use the taxonomy later, so early involvement improves adoption.

Appoint a taxonomy owner

A taxonomy needs consistency. If every stakeholder designs categories differently, granularity quickly becomes uneven and the structure becomes difficult to use.

Assign one person responsibility for keeping the taxonomy coherent and for judging the trade-offs between breadth, depth and usability.

Test it early — and often

Do not wait until the taxonomy feels complete before trying it on real data.

Test it against a representative sample as early as possible. That will quickly expose where categories need to be split, merged, clarified or redefined.

Add definitions — they're crucial

Definitions are tedious but important.

Clear definitions make it easier for different people to classify spend consistently, especially when category boundaries are similar. They also make the taxonomy far more usable for new team members or occasional users.


Flowchart showing Raw Spend Data with graphs and lists, transitioning to Spend Taxonomy icons, and ending with Reporting Insights charts.

After launching your Spend Taxonomy

Treat the taxonomy as a living system

You are unlikely to build a perfect taxonomy on the first pass, and even a strong taxonomy will need to evolve as suppliers, business models and technologies change.

Build review and maintenance into the process rather than treating the structure as fixed forever.

Use it to enrich reporting

Once the taxonomy is stable enough to trust, combine it with your spend data in reporting tools such as Power BI, Tableau, QlikView or Looker.

This is where the effort starts to pay off. Better classification makes dashboards more useful, comparisons more meaningful and procurement decisions faster.

Final thoughts

A spend taxonomy is foundational work. It can feel slow, repetitive and unglamorous while you are building it, but the quality of your later analysis depends heavily on getting this layer right.

If you want better spend insight, start by making the structure behind the data usable.

If you would like help designing the data model, classification rules or reporting around procurement spend, Tickl can help turn fragmented data into clearer operational insight.


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