The savings are already in your data. Inconsistent records are what keep them hidden.
Savings opportunities go unnoticed every day. Not because procurement teams are not looking, but because the data they rely on does not tell a consistent story.
Consider what that looks like inside a real purchasing system. The same product appears under three different descriptions, so no one sees it was bought at three different prices. Quantities are recorded against different units of measure, so a box, a case and a single unit all sit in the same report as though they were the same thing. Purchases are made without being linked to the contract that was meant to govern them, so the negotiated price is never enforced. None of this looks like a problem on any single line. Together, it is exactly where savings quietly disappear.
It works the other way too. An apparent saving can evaporate the moment someone looks closely. A contract that renews at last year’s rate is not automatically a win. An invoice that matches its purchase order is not proof the price was right. Without clean, connected data underneath it, a spend report can celebrate savings that were never real and miss the ones that were.
Off-contract buying
Off-contract buying is one of the most studied of these leaks. Academic research on maverick buying, the practice of purchasing outside negotiated agreements, shows how routinely it erodes savings procurement has already secured, often without anyone intending to break the rules.*
This is why effective spend management does not start with a report. It starts with data governance. Before you can trust a saving, the data behind it has to agree with itself: one product identity, one unit of measure, one price history, one contract it answers to. Governance is not paperwork. It is the discipline that makes every number downstream defensible.
This is not a fringe concern. In Deloitte’s Global Chief Procurement Officer Survey, close to half of procurement leaders named poor data quality as a major barrier to getting value from their systems, with weak data integration ranked just behind it. The analytics are only ever as trustworthy as the governance beneath them.
Optivian helps
This is the work Optivian is built for. It connects purchasing, product and contract data from the systems you already run, standardizes it into a single consistent language, and continuously validates it as new transactions arrive. On that foundation, it helps your teams:
Identify price discrepancies. Spot the same product bought at different prices across suppliers, sites and periods.
Detect off-contract purchases. Surface spend that bypassed a negotiated agreement, along with the terms that were missed.
Surface product equivalents. Flag functionally equivalent products for review, so sourcing and standardization opportunities become visible.
Prioritize with evidence. Rank every opportunity by financial impact, each one traceable back to the records that support it.
The point is not another spend report. Most organizations already have more reports than they can act on. The point is knowing where to act, why it matters, and what still needs validation before a saving can actually be realized. Every opportunity Optivian surfaces arrives with the evidence behind it, so procurement can move with confidence instead of caveats.
Contract optimization follows from the same foundation. When every purchase is linked to the agreement that governs it, the contracts worth renegotiating stop being a matter of intuition. The value left on the table becomes visible, attached to real spend, and ready to carry into the next supplier conversation.
Trusted data. Clear opportunities. Better spending decisions.
See what disciplined spend management looks like in your operation. Talk to MUUTAA.
SOURCES
* Karjalainen, K., Kemppainen, K., and van Raaij, E. M. (2009). “Non-compliant work behaviour in purchasing: An exploration of reasons behind maverick buying.” Journal of Business Ethics, 85(2), 245-261.
Deloitte. The Deloitte Global Chief Procurement Officer Survey, 2017. Data quality cited by 49% of respondents as a major barrier to deploying procurement systems, with data integration second at 42%.
Supply Chain Resource Cooperative, NC State University. “Bad Data, Lack of Standards = Lousy Supply Chain Analytics,” 2017. Identifies the absence of a data-governance standard as the root cause of poor procurement data integrity.