An EPM health check is a structured diagnostic of an existing Oracle EPM or Hyperion implementation — carried out by experienced EPM consultants who review the application’s configuration, data quality, business rule logic, integration architecture, and user adoption to produce an assessment of what is working, what is not, and what changes would improve the value the system delivers. Finance leaders commission EPM health checks when the system has been in place for several years and is not delivering the expected value, when the organisation is planning a significant change (a cloud migration, a group restructuring, a new business unit), or when EPM team members who understood the system have left and the current team lacks confidence in what the application is doing and why.
What an EPM Health Check Typically Reveals
In practice, EPM health checks reveal a consistent set of issues in mature implementations. Data quality gaps — where the data in the EPM does not match the source system data because mapping tables have not been updated as the ERP evolved. Business rules that no longer reflect the model they were designed for — because dimensions have changed, entities have been added, or accounting policies have been updated without corresponding changes to the calculation logic. Journal adjustments that have been running for years without review — some of which are still appropriate, others of which are masking data quality problems that should be fixed at the source. And user adoption patterns that reveal the finance team working around the EPM rather than with it — using the EPM for official reporting but maintaining a parallel set of spreadsheet models for actual analysis and decision-making.
Health checks also surface technical risks: EPM environments that are running on outdated software versions, have accumulated excessive data that is degrading performance, or have security configurations that no longer reflect the organisation’s current structure. These risks are not visible from the finance team’s perspective — the system appears to work — but they create operational vulnerability that can manifest as a performance problem or a data security issue at an inopportune moment.
What a Health Check Should Produce
A well-structured EPM health check produces three outputs. A findings summary that categorises issues by severity — critical (affecting system integrity or data accuracy), significant (affecting usability or efficiency), and improvement opportunities (not problems, but areas where the system could deliver more value). A prioritised remediation plan that sequences the fixes according to impact and effort. And a future-state design that describes what the EPM environment should look like after remediation — giving the finance leadership a clear picture of what the investment in fixing the issues will produce.
When a Health Check Is Most Valuable
The highest-value timing for an EPM health check is before a major investment decision — before a cloud migration, before an application expansion, or before a new planning module is added. A health check that reveals the existing environment has significant data quality problems is a signal that those problems should be resolved before additional capability is added on top of them. Building new EPM capability on a poor foundation produces a larger, more complex poor foundation.
How Loop Wise Solutions Conducts EPM Health Checks
Our EPM health check engagements combine technical review (examining the application configuration, the business rules, the integration setup, and the data quality) with business review (interviewing the finance team about how they actually use the system and what they wish it did differently). The combination produces recommendations that are both technically valid and operationally meaningful — which is why health checks conducted purely as technical audits, without engagement with the finance team, frequently miss the most important improvement opportunities.
