Spend analysis is a process for gaining insight about the behavior of buyers and suppliers, and then applying that insight to drive quality procurement decisions. Ideally, the spend analysis process:
- combines data from different payment systems into a common dataset;
- enhances the dataset by adding a commodity dimension and other key procurement information;
- provides insightful and powerful tools for examining and analyzing the data.
Conventional spend analysis software has drifted from this ideal. It typically consists of a collection of cleansed and mapped spend transactions, published to a data warehouse every month or quarter, with commingled services for data preparation and refresh.
So what's wrong with that?
Well, where's the "analysis?" By its very nature, spend analysis is a dynamic process, requiring changes to data structure, addition and deletion of analysis dimensions, and constant alteration of roll-up hierarchies and rules. And, the notion of "one dataset" for spending data is highly limiting, because many different analysis views — especially commodity-specific views — are critical.
The table below itemizes some common customer requests, and how they're (not) handled by today's spend analysis systems.
| Customer Request | Vendor Response | Outcome |
| I have some (T&E data, cards data, commodity-specific data), and I'd like to build another dataset with it. |
|
Paralysis |
| I need to group my (cost centers, GL codes, business units) differently for a custom analysis. |
|
Download raw transactions. You're on your own. |
| I need to fix this incorrectly mapped spending, it's messing up all my results. |
|
Paralysis |
| I need to write a new report. |
|
Download raw transactions. You're on your own. |
At BIQ, we believe that business users should be empowered to build, modify, manipulate, and analyze their own datasets.
We think data familying and mapping tools — "cleansing" tools — should be accessible to users, not hidden behind closed doors and inaccessible to anyone but the vendor. With BIQ, you can:
...build your own datasets
...map your own spend
...build new dimensions
...alter hierarchies
...create reports and populate models
...in real time, with a simple point-and-click interface.
Naturally, there are BIQ implementation partners who would be delighted to jump-start you and help with constructing datasets. But you can use them as much or as little as you like; dismiss them any time you want; and maintain complete control over your system.



