Spend Analysis

Spend analysis answers basic but often surprisingly hard questions: how much does the organization spend, on what, with which suppliers and through which parts of the business? To answer them, spend analysis gathers data from accounts payable, purchasing systems, corporate cards and expense reports, cleans and standardizes it, classifies it into categories and then analyzes it to reveal patterns, gaps and opportunities.

Spend analysis is the starting point for most procurement improvements, from strategic sourcing to supplier consolidation. For technology, it is particularly valuable because technology spending is often fragmented across departments, cost centers and payment methods, and supplier names and descriptions are inconsistent. For IT financial management, spend analysis provides the clear view of technology spending that cost reduction, budgeting and vendor management all depend on.

Definition of Spend Analysis

Spend analysis is the process of collecting, cleansing, classifying and analyzing expenditure data with the purpose of reducing procurement costs, improving efficiency and monitoring controls and compliance. It produces a single, consistent view of spending across the organization.

The output is often called a spend cube, a dataset that allows spending to be viewed by supplier, category and organizational unit, along with dimensions such as time, location and contract status.

Data Collection and Cleansing

Spending data comes from many sources, including accounts payable, purchase orders, corporate card transactions, expense reports and, for technology, cloud bills and marketplace purchases. Each source uses different formats and levels of detail.

Cleansing standardizes this data. Supplier names are normalized, so that variations of the same company are grouped together, and parent-child relationships are established, so that subsidiaries are linked to their parent companies. Duplicate and erroneous records are removed.

Cleansing is usually the most time-consuming part of spend analysis. Automation and machine learning tools can help, but some manual review is usually needed, especially for large or unusual transactions.

Classification

Each transaction is assigned to a category using a taxonomy. Organizations may use standard taxonomies, such as UNSPSC, or their own. For technology, classification often maps to IT-specific categories, such as hardware, software, cloud, telecom and IT services, which can align with the cost pools of a TBM model.

Accurate classification is essential for meaningful analysis. Transactions with vague descriptions, such as invoices simply labeled services, require additional information to classify correctly.

Where general ledger accounts are used for classification, inconsistent coding can mislead. Technology purchases are often coded to general accounts like consulting or office supplies, so line-level descriptions and supplier information are important for accurate results.

Importance of Spend Analysis in IT Financial Management

Without spend analysis, organizations often do not know their total spending with a supplier or in a category, which makes it impossible to negotiate effectively or manage costs strategically.

Spend analysis turns raw transactions into actionable information.

For technology, spend analysis also reveals spending that sits outside the IT budget, such as SaaS bought by business units, giving a fuller picture of total technology costs.

Finding Savings Opportunities

Spend analysis reveals opportunities such as consolidating spending with fewer suppliers, enforcing negotiated contracts, identifying duplicate purchases and finding categories where prices vary widely across the organization.

For technology, it frequently uncovers multiple contracts with the same vendor, SaaS subscriptions bought by different departments for the same tool and spending with suppliers that are not on approved lists.

It also shows where spending is growing fastest, which helps prioritize where to focus attention before costs become entrenched.

Supporting Strategy and Control

Spend analysis provides the fact base for category management and strategic sourcing, showing which categories are largest, most fragmented or most ready for action. It also supports budgeting and forecasting by showing spending trends.

For control, it reveals spending outside contracts, purchases that bypass approval processes and unusual patterns that may indicate errors or fraud.

Spend analysis also supports supplier risk management by showing how much the organization depends on each supplier, which helps identify concentrations of risk.