System migration projects are often approached primarily as technology initiatives.
However, an IT system does far more than process transactions or store data. It automates business processes, enforces operational rules, orchestrates approvals, coordinates teams and supports ways of working that have evolved over many years.
This is precisely what makes migrations so complex.
When an organization replaces an ERP, ITSM, CRM or any other critical platform, it is not simply migrating technology. It is transforming an operational ecosystem that is often far more complex than expected.
And this is where risks typically emerge.
The Real Challenge Behind System Migrations
In many organizations, documented processes only represent part of reality.
Over time:
- exceptions are introduced,
- specific validations are added,
- teams develop their own workarounds,
- manual bypasses become part of daily operations,
- dependencies between systems and teams evolve organically.
These elements rarely appear clearly in process diagrams or workshop discussions.
Yet they directly influence:
- operational performance,
- processing times,
- service levels,
- user experience,
- operational stability after migration.
This is why many transformation initiatives struggle — not because of the technology itself, but because organizations underestimate the operational reality their systems support every day.
The Risk of Migrating Without Understanding Real Operations
During migration projects, organizations often discover too late:
- undocumented process variants,
- critical exceptions known only by certain employees,
- forgotten integrations,
- significant rework loops,
- hidden delays between process steps,
- major gaps between theoretical and actual processes.
These discoveries frequently occur:
- during testing,
- during deployment,
- or worse, after go-live.
The consequences can be significant:
- operational slowdowns,
- increased incidents,
- productivity loss,
- frustrated users,
- rising transition costs,
- slower adoption of the new system.
Before transforming a system, organizations must first understand how work is truly being executed today.
Understanding Processes Through Real Operational Data
This is where Process Mining brings significant value.
Unlike approaches based solely on workshops or assumptions, Process Mining leverages system event logs to objectively reconstruct how processes are actually executed across the organization.
This approach makes it possible to:
- visualize real process flows,
- identify operational variants,
- measure delays and wait times,
- detect loops, rework and inefficiencies,
- understand interactions between teams and systems,
- identify the most common exceptions,
- compare actual execution against expected processes.
Operational data often reveals a reality that is far more complex — and far more valuable — than what exists in documentation alone.
Better Visibility to Reduce Migration Risks
In a migration context, this visibility allows organizations to:
- better prioritize transformation efforts,
- simplify processes before migration,
- identify operational risk areas,
- reduce surprises during testing,
- better prepare teams,
- avoid reproducing inefficiencies in the new system,
- make decisions based on facts rather than assumptions.
Process Mining therefore becomes more than an optimization tool.
It becomes a powerful lever for operational control and migration risk reduction.
Transforming Systems Without Losing Sight of Operational Reality
System migrations are often strategic moments for organizations.
They create opportunities to:
- modernize operations,
- simplify ways of working,
- improve user experience,
- increase operational performance.
But to successfully transform a system, organizations must first understand what the current system is truly automating.
Because behind every application lies a complex network of operational decisions, business rules and work habits that directly impact daily operations.
Migration projects rarely fail because of technology alone.
They often fail because organizations do not have a sufficiently clear understanding of their real operational processes before initiating change.
Understanding current operations is therefore the first step toward a successful migration.
At P&S, we help organizations gain this visibility through data-driven approaches and Process Mining in order to secure transformations and improve operational control.