Drawing on hands-on client experience, this piece explores how fragmented systems can cost organizations millions a year in hard and soft costs that most never measure.
Every cost reduction initiative starts the same way: leadership sets a target, the team identifies a few obvious cuts, and everyone feels good about the progress for a quarter or so. But often, those savings were never fully realized, and new costs surface as old workarounds re discovered. A crosswalk built to translate between two systems that were never designed to talk to each other is a common example, and uncovering it is often the first step toward greater visibility across IT.
Fragmented systems create real overspending, and it shows up in both hard and soft costs. When ERP systems operate in silos, cost reduction becomes an exercise in patching leaks. Seal one, and the pressure finds a new place to break through. A redundant license gets cut, but the hours lost to manual reconciliation and the decisions delayed by data no one fully trusts keep flowing past the patch.
Over more than 20 years of working across ERP, HCM, and SCM environments, Surety Systems has seen this pattern repeat regardless of which vendor is running the show. Below, we’ll break down how fragmentation fuels overspending in systems like Workday, UKG, Infor, Oracle, and SAP, and what ERP leaders can do about it.
What Siloed ERP Systems Really Cost You
A siloed ERP environment doesn’t always look broken. Business continues as usual, but underneath that operational stability, disconnected systems create a steady, compounding drag on cost and efficiency.
Here’s what it typically looks like: the same item carries three different codes depending on whether you’re looking at the ERP, the clinical system, or the platform tracking spend, so no one can confidently say what’s in stock or what it’s really costing across the organization. The chart of accounts tells a similar story: finance, decision support, and the core ERP each maintain their own version, and the same pattern repeats across customer records, vendor records, and every other master data set two business units track separately.
A quick fix integration built years ago is now a dependency no one fully understands, not because anyone’s afraid to touch it, but because the true cost of the workaround was never measured against the effort to fix it, so it never rises high enough to get prioritized.
This is often where a dedicated data architect role would catch what other people miss, and in healthcare, that role is frequently undiscovered. EHR maintenance and compliance already eat up close to half a typical IT budget, and with data ownership scattered across dozens of clinical departments, no single team feels the problem enough to push for the hire.
That labor drain is real, even if it rarely shows up as its own line item. Forrester’s 2023 State of Data Quality survey found that more than a quarter of organizations report annual losses over $5 million from poor data quality, much of it buried in reconciliation work like this. McKinsey’s research on finance functions backs this up: top-performing teams spend 19% more time on strategic work than typical ones, largely by improving efficiency in transactional work like data entry and reconciliation.
The gap between real cost and reported cost holds on the data quality side too. A 2025 report by the IBM Institute for Business Value puts the average annual cost of poor data quality between $5 million and $25 million per organization, and finds that roughly 60% of organizations do not measure that cost at all. That’s also the exact pattern our team looks for during a system health check — not whether a system is running, but where fragmentation is generating costs that never makes it onto a report.
Why Most Cost-Reduction Plans Stall
If silos are quietly driving up costs, why don’t most cost-reduction plans fix them? It usually comes down to four core issues.
They target symptoms, not structure. Budget freezes, license audits, and headcount reductions address what’s visible, not what’s underlying. Cutting a redundant license is actually an opportunity to fix the manual process behind it, since consolidating onto one platform forces a re-implementation. The risk is failing to take advantage of that moment: if the process doesn’t get fixed during the transition, the same inefficiency just gets recreated in the new system, and it starts generating new expenses almost immediately.
No one owns the fix. Ownership of the fix is often unclear. IT typically owns the ERP system, but finance and operations absorb the day-to-day pain of disconnected data. The team best positioned to feel the cost isn’t always the one with the authority to fix it. This is where an unbiased perspective, one that sits above any single department’s tools, can help clarify what’s best for the business.
Integration gets treated as a project, not an architecture. Many organizations connect System A to System B, mark it complete, and move on. But systems change, data volumes grow, and operational needs shift. An integration built to solve a problem three years ago often becomes the next silo, held together by patches that get harder to maintain as the people who built them move on. But, data architecture isn’t a one-time need. It must be documented, maintained, and reviewed on an ongoing basis as new systems come online, old ones get sunset, and processes evolve. Without that ongoing investment, “fixed” integrations quietly degrade until they’re generating the same costs they were built to eliminate.
Familiar workarounds feel safer than change. Most departments have already built workarounds: spreadsheets, shadow tools, and informal processes that offer a temporary fix without disrupting the system. These function well enough that touching the underlying system feels riskier than leaving it alone, so the real fix gets deprioritized in favor of protecting what currently works.
A Practical Framework for Fixing the Root Cause
Here’s a practical way to address the structure underneath, rather than cutting deeper into the surface.
1. Audit bottlenecks before auditing spend. Map where data breaks down between departments before opening a budget report. Where does someone re-enter information that already exists elsewhere? Where do reports take days because two systems need reconciling?
Part of this audit should also check data direction: information should flow from the system of record outward, not get passed peer-to-peer between surrounding systems. Department structure, for example, should come from the core ERP, not get relayed through a point-of-use system that also feeds a different application. These bottlenecks, not the line items, are where the real cost hides.
AI-driven data quality tools can help here too, surfacing reconciliation issues automatically rather than relying on someone to catch them by hand.
2. Map data flows and ownership. Trace where the data actually lives. Is customer information duplicated across the CRM and ERP systems? Are two business units maintaining separate versions of the same item master? An unclear answer is often the real issue for these teams. However, this is easiest to spot from a vendor-agnostic viewpoint — internal teams tend to view the problem through whichever system they use every day, which makes duplication across platforms harder to catch from the inside.
Machine learning-based matching tools can also help surface likely duplicates that a manual review would miss. Just as important: who’s responsible for keeping each data set accurate? An unclear answer is often the real issue behind mismatched data flows.
3. Prioritize integration architecture over point-to-point patches. Leverage integration platforms and API-driven architecture that scale as the business changes, rather than one-off connections built to solve a single problem. Patches are faster up front, but they create dependencies that cause more issues down the road.
Sometimes the better fix is consolidation through migration, reducing the number of systems carrying duplicate load. Integration technology also keeps evolving, so periodically revisit whether you’re still using the best fit-for-purpose tooling rather than defaulting to whatever was available when the last integration was built.
4. Establish clear data governance. Assign accountability for data quality, not just system uptime. Someone needs to own the accuracy of master data, and that ownership needs to survive turnover and reorganization. Without it, even a well-built integration slips back into disorder.
5. Right-size before you modernize. Before adding modules, licenses, or platforms, confirm what’s actually being used. Start with the contracts and licensing agreements already in place, and break them down to the SKU level. Vendors often bundle SKUs together, which makes it hard to see what you’re actually paying for without pulling contracts apart line by line.
It’s common to find functionality your organization is already paying for but has forgotten about in favor of a workaround, or modules that were never fully rolled out. Modernization should follow an honest assessment of what you already have, not precede it.
6. Tie every initiative to a business outcome, not a system metric. Uptime and license counts are easy to track, but they rarely reflect what business users feel day to day. Frame initiatives around what actually changes: faster close cycles, more accurate forecasting, fewer reconciliation errors. That framing keeps an initiative funded once the easy wins are gone and the harder work begins.
This framework requires an honest, cross-functional look at where the inefficiency lives, and a willingness to treat the fix as ongoing work. It’s the same approach Surety Systems brings to every engagement: advising strategy, executing the technical work, and reinforcing the team once the heavy lifting is done.
What This Means for Your Organization
Fixing ERP cost overruns isn’t a one-time initiative. It requires a shift in how the problem gets framed and who’s involved in solving it. Five shifts make the biggest difference:
- Understand the investment: A plan built around licenses and budgets will always be temporary. A plan built around the data flows and governance behind those costs has a real chance of holding strong in long-term architecture plans.
- Bring the right people to the table: Initiatives that stay siloed within IT tend to produce IT-focused fixes. Those siloed within finance tend to produce budget-focused solutions. Progress happens when technical, financial, and operational perspectives are in the room together, so the plan reflects how the business actually runs every day.
- Bring in an unbiased perspective: Recommendations that serve the business, not a vendor’s roadmap, are more likely to address the actual issue instead of steering toward one platform’s strengths. That same outside view helps prioritize an internal solution that documents licensed contracts and applies strong governance to any new software coming in. It’s the foundation of how Surety Systems operates across multiple ERP, HCM, and SCM platforms rather than being tied to one. We bring a cross-system view of problems that repeat regardless of the technology and can help build that initial documentation and governance plan.
- Build a plan, then staff it: Building a compelling business case and ROI is often an underused lever for getting leadership buy-in. Even after buy-in, a plan without dedicated resources tends to stall right where the last one did. Whether that means developing the initial business case, bringing in outside implementation support, or augmenting your existing team, both the case and the resourcing need to be in place before you start.
- Treat it as ongoing: Integration architecture and governance require continued attention. Organizations that avoid falling back into old patterns build monitoring and accountability into how they operate, not just into a single initiative.
None of this requires ditching your current ERP system. Just an honest look at where the fragmentation in your system lives, and a commitment to treating the fix as infrastructure.
The Bottom Line
Siloed ERP systems generate real, recoverable overspending. It shows up as hard costs, like duplicate licenses and redundant tools, and soft costs, like reconciliation labor, delayed decisions, and eroded trust between teams. Both are driven by the same root cause: fragmented data, unclear ownership, and integrations built to solve yesterday’s problem instead of scaling for the future.
The upside is that these costs are recoverable. Organizations that fix the fragmentation underneath don’t just patch the next leak; they shut off the source and unlock savings that were never visible enough to chase in the first place.
If you’re not sure where that cost is leaking out of your systems, that’s exactly the kind of gap our team is designed to identify, support, and resolve. We bring a cross-system understanding of architecture and the problems that repeat regardless of the technology involved, an advantage a single-platform vendor or an internal team focused on one system can’t offer.
