The Problem Nobody Planned For
The ERP says inventory is available. The warehouse says it isn't. The customer wants a status nobody can confirm. By the time someone reconciles the three systems, the decision window has closed.
This is what fragmented operating records look like in practice. It isn't a software bug. It's a structural condition that compounds over time and touches every function that depends on shared data.
Workday notes that seven in ten enterprises rely on ERP as their core operational infrastructure. Yet Gartner, as cited by Workday, predicts over 70% of ERP projects will fail to meet their goals, with a quarter failing catastrophically. The gap between deployment and realized value often traces back to the same place: records that can't be trusted across systems.
Why Records Break Down
Operating systems are selected at different times, for different purposes, by different teams. Each solves a specific problem at the moment it's deployed. Few are designed to share a consistent record with the others.
A sales order becomes a production job through a step that carries the reference from one system to another. A quality hold must stop a warehouse system from shipping. A production count change must update the inventory position the ERP is planning against. Without a reliable connection between systems, those handoffs depend on people bridging the gap manually.
The visible symptoms tend to be the same: manual reconciliation before decisions, reporting cycles that turn into data-chase sessions, and escalations that replace routine operating cadence.
What Makes This Hard to Fix
Workday identifies the compounding risk directly: when finance and technology leaders admit their data is trapped in silos, integration gaps don't just slow reporting. They distribute inconsistency faster the moment a new connection is added on top of a bad data foundation.
The constraints are real. Systems vary by company. Data ownership is often split across the ERP team, operations, and IT. Integration capacity differs. And operating change is itself a limiting factor, each approach requires people and processes to change alongside the technology.
Four Approaches Worth Comparing
There is no single correct response. The right approach depends on which systems are involved, who owns the data, what integration capacity exists, and how much operating change the organization can absorb. Four approaches are worth evaluating:
Manual coordination with governance changes only. For some organizations, the fastest near-term improvement is clarifying ownership, standardizing definitions, and enforcing a consistent data entry discipline before any technical change. This is low cost and low disruption but doesn't scale and doesn't fix the structural gap.
Targeted integration between specific systems. When two systems need to exchange a well-defined record type at a consistent cadence, a direct API (application programming interface) connection or a managed data feed can close that gap without touching the broader architecture. Workday recommends an API-led approach that creates a modular foundation, making integrations easier to build, test, and extend as requirements change.
This approach works well when the receiving system can accept the connection at the right cadence. When it can't, a different path is needed.
Portal or reporting layer. A reporting layer that pulls from multiple source systems can give teams a unified operating view without requiring each upstream system to change. This helps with decision latency but doesn't fix the underlying ownership or handoff problem. Reports are only as current as the data pipelines feeding them.
Governed ERP implementation or re-implementation. When the operating environment has outgrown its current architecture, a more comprehensive ERP implementation may be the right response. This is the highest-effort path and carries the most organizational risk. Workday puts the scope plainly: a new ERP requires rethinking processes, clarifying decisions, and configuring systems to reflect how the organization truly wants to operate. That's not a technology upgrade. It's a business transformation program.
Material Tradeoffs
Each approach carries tradeoffs that affect more than the technology layer.
A reporting layer reduces decision latency without requiring upstream changes, but it introduces a new dependency. If the pipeline breaks or lags, the reports mislead rather than inform.
A full ERP implementation addresses the architecture but introduces the most change. Data quality problems that exist before migration don't disappear. Workday is direct about this: ERP implementations can expose data problems that exist inside the organization, and waiting until migration to address them slows the project and damages credibility.
Workday also warns that if two systems define the same cost center or a full-time equivalent differently, integration won't fix the inconsistency; it will distribute it faster.
Governance matters regardless of approach. Ownership of each data domain needs to be explicit before system design is finalized, not after.
Change management is a real constraint. Workday identifies it as one of the primary reasons ERP projects fail: a new system changes how supply chain managers track inventory, how HR teams manage talent, and how finance closes the books. Without structured communication, training, and executive sponsorship, adoption fails even when the technology works.
Where to Start
The first step is not selecting a platform. It's defining which operating problem is causing the most damage and understanding the systems, ownership, and handoffs involved.
Workday recommends that before making configuration decisions, teams review which business processes still serve the organization and flag approvals, handoffs, and manual workarounds that slow execution. Process redesign should happen before system design is finalized. Otherwise, the implementation automates existing inefficiency rather than replacing it.
A bounded discovery effort, limited to the two or three highest-friction handoffs, usually surfaces the real gap faster than a broad system audit. It also makes the tradeoffs visible before a platform commitment is made.
For organizations with a mix of systems, a data audit is often the right first deliverable. Workday frames it directly: clean the source before you connect the ecosystem. Defining ownership for each major data domain, resolving conflicting records, and standardizing definitions across finance, operations, and IT is work that precedes any integration or implementation decision and determines whether any of them will hold.