
Having a deep taxonomy and clean classified data means that you can easily make comparisons to evaluate procurement performance. Internal comparisons between business units or locations can help identify and address spending outliers within your QuickBooks organization. Procurement process KPIs can also be compared to improve efficiency, like time to have a PO signed off.
- It helps assess regional risks and anticipate the impact of trade or geopolitical issues.
- Yes, you’ll need data as the basis of the analysis, but that’s not the end of the story, data without context won’t make too much sense so look for spending trends over time.
- This is especially true in periods of economic instability or high competition, where optimizing working capital to build resilience against external conditions or investment in growth is a priority.
- When executed successfully, firms may work with fewer suppliers for more value, streamlining procurement.
- Companies that commit the vast majority of their spending through digital means can reap the greatest rewards.
Impactful, actionable insights

Spend analysis is used to identify saving opportunities, increase spend visibility, get essential data for contract management, and evaluate the performance of suppliers. Consistently update the data to ensure everyone follows contract terms, collaborates with preferred suppliers, and spots opportunities for savings. Regularly analyse spending and identify new best practices for the business each time you examine the data. Another difference is that Payroll Taxes spend Management is strategic while expense management is operational. Spend Management involves long-term financial planning, supplier negotiations, and optimization of procurement processes.

By Solution
- Through the identification of idle licenses, redundant tools, and vendor bargaining opportunities.
- It streamlines data collection, provides real-time insights, and highlights areas of redundancy, improving procurement efficiency.
- Cleaning, normalizing, and categorizing this spend data manually can take weeks—time that could be spent finding savings and improving procurement performance.
- Having spend data doesn’t mean much if key stakeholders and their objectives are not involved in the process.
- The process gives you visibility into business spending and a clear way to influence financial performance.
Once you’ve established these categories, your spend management system will take care of the rest automatically. However, if the taxonomy classifies Facilities to Level 4, the initiative could focus and be more straightforward. At Level 4, the categories are specific enough to have just a few vendors each. The analysis can guide you to the vendors or products that are more expensive than they should be.

Category Performance
Achieving comprehensive visibility into organisational spending is a significant challenge. AI addresses this by identifying anomalies and elucidating the reasons behind variations. If you’re looking to improve spend visibility for your organization, there.. All procurement transformation projects tend to start with the same approach – and for a good reason! First, you create a spend cube automated spend analysis to divide your spend into different categories.
- Instead of waiting weeks for reports that tell you what already happened, you get real-time intelligence that helps you make smarter decisions right now.
- Extract procurement data from all your spending sources—ERP systems, P-cards, and AP files.
- The table below summarizes key capabilities and why they matter, along with what to look for when evaluating spend analysis solutions.
- Using machine learning, the system learns to classify transactions into the right buckets automatically.
- Vendor names may be formatted differently across systems, invoices often contain uncategorized spend, and data from various sources can be full of duplicates and errors.
- In order to measure the improvement, another analysis needs to be executed.
- Various analysis techniques such as spend distribution, supplier performance analysis, cost variance analysis, and benchmarking are used to examine the data.
These tools can integrate with existing financial systems, apply advanced analytics algorithms to the data, and present the results in an easy-to-understand format. Automated spend analysis is usually accomplished by integrating specialized software with a central Enterprise Resource Planning (ERP) system. Automated spend analysis uses software tools to automate the stages of spend analysis. Employees use Navan to book their flights and hotels, and finance teams are able to easily collect invoices and unify their payments. Companies can sometimes negotiate dynamic discounts with suppliers, where the early payment discount varies by the actual payment date your company uses.