SPAT | Spend Analysis Tool | Business Management Consultants

Need to find savings but struggle with your data?

Do you need to find savings ASAP?
Do you think your spend data is in bad shape and not good enough to do spend analysis?
Are you pressed for time to get a view of how much you are spending with what supplier for which good/services?
Does your team struggle interpret your spend data to find savings?
Do you need to get a consolidated view of all spend, e.g. across multiple finance systems, credit cards, etc…?
Do you still work based off an assumption that a GL Account equals a spend category or that there is a one to one mapping between supplier and category?

AI that makes sense of your spend data and identifies savings

Identify Savings

The ability to identify meaningful savings opportunities is key for procurement teams, especially in an economy scared by recession.

Often, low quality data gets in the way. Or it is a lack of in-house capability to meaningfully interpret the available data.

No more!

Based on your accounts payable ledger and credit card expense data, our machine-learning tool SPAT identifies how much you are spending on what and with whom. Our experienced procurement consultants then analyse your results to pinpoint where your biggest savings opportunities are.

We don’t stop there. We provide you with a list of actionable recommendations on how to reduce the spend through the four spend levers: Pay Less, Buy Cheaper, Buy Less and Buy Smarter.

Automatically Categorise Spend and Present in Dashboards

We use PowerBI to present your spend data in an executive friendly manner. You can drill down by Cost Centre, Financial Year, Spend Category and Supplier. This is all enabled by SPAT which automatically categorises each of your invoices to a UNSPSC category or your own category tree.

Show Results Today

We work with our clients to turn the insights from spend analysis into actionable category strategies. We focus on what counts today: rapid risk and cost reduction, not lengthy category plans.

Enter the SPAT Demo

SPAT uses Machine Learning, to classify even the lowest quality data: All we need is a supplier name and a free text description.
Speed is of the essence. We turn your spend analysis around within 48 hours, to higher accuracy than seen elsewhere.
A single supplier can supply across multiple categories, therefore we don’t map on GL codes or supplier names.
With our category structure being able to match UNSPSC or your own category tree.

SPAT Benefits

Get spend visibility
Identify savings opportunities
Minimise maverick spend
Rationalise supplier base
Manage supply risks
Base decisions on sound data analysis
Build a roadmap for designing your procurement function

The results from SPAT speak for themselves

By aggregating all supplier spend and separating this across a variety of categories and locations, we are able to ascertain a starting point for determining where the greatest savings can be made.

Our analysis not only focuses on the dollar figures associated with spend, but the ‘who?’, ‘what?’ and ‘why?’ of the spend. We are able to take data which has previously been of very little value to our client and turn it into a dashboard with clearly identifiable insights.

Simple spend analysis relieves supplier management complexities for a leading University

Our client, a leading regional provider of higher education, struggled with a complex web of facilities management suppliers and an inconsistent organisation-wide contract management approach. These inconsistencies filtered through to procurement and contract documentation, further exacerbating difficulties in supplier management.

Register your interest for SPAT

Spend Analysis - is it all too hard? Not with SPAT!

Get the most accurate, speedy and affordable spend analysis that can handle even poor quality data.

How do you quickly make sense of data that is of the lowest quality?

The solution? Combining machine learning and good old human experience.

Register your interest by filling out the form on this page, to be kept 'in the loop' on all upcoming SPAT related content and events.