CMMS & EAM Data Quality Consulting
SAS-AM provides specialist CMMS and EAM data quality consulting across IBM Maximo, Hexagon EAM, SAP PM, and other enterprise asset management platforms. We help organisations maximise the value of their system investment through better data, smarter workflows, and analytics-ready asset hierarchies.
Maximise Your CMMS and EAM Investment Through Data Excellence
Our CMMS and EAM consulting services focus on the intersection of system capability and asset management practice. We work across all major platforms — IBM Maximo, Hexagon EAM, SAP PM, Ultimo, MEX, and others — ensuring your configuration supports your maintenance strategies, your data quality enables meaningful analytics, and your workflows drive operational efficiency. Our platform-agnostic approach means we optimise for asset management outcomes, not vendor lock-in.
we work hard to deliver incredible value to our clients.



Analytics-Ready Data
Clean, well-structured CMMS and EAM data enables accurate reporting, meaningful analytics, and maintenance strategies that reflect actual asset performance — regardless of which platform you use.
Reliable Asset Information
Accurate hierarchies and consistent data standards ensure you can trust the information in your CMMS or EAM system for operational and strategic decisions.
Analytics-Ready Data
Data quality improvements enable advanced analytics, predictive modelling, and AI applications that require clean, structured input data from any platform.
Optimised Maintenance Execution
Aligned PM programs and accurate job plans reduce wasted maintenance effort and ensure critical tasks are not missed.
Platform-Agnostic Expertise
Our consultants work across all major CMMS and EAM platforms, bringing best practice from multiple systems to optimise your specific environment.

Yarra Trams
Head of Asset Management, Yarra Trams
Sinead Redmond
General Manager, Infrastructure Delivery, GeelongPort
Where theory meets execution
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FAQs
Learn more about what our clients ask us.
We review your preventive maintenance tasks, intervals and job plans against asset criticality and failure modes, then align them with RCM based strategies. The result is a programme driven by risk and failure behaviour rather than arbitrary schedules, on whichever platform you run.
Yes. Whether you are implementing a new system, migrating from a legacy platform or improving an existing deployment, we make sure hierarchies, failure codes and maintenance plans are set up to reflect how your assets are actually run, not just IT defaults.
Failure codes turn work orders into data you can analyse. Without consistent codes for what failed, how it failed and why, it is very hard to find repeat failures, calculate reliability or test whether a maintenance strategy is working. A well designed coding structure is the bridge between the CMMS and reliability engineering.
The audit checks that your asset hierarchy is complete, consistent and matches the physical assets. It covers parent and child relationships, location hierarchies, failure codes and classification structures, and whether the data supports both day to day work and analysis.
We work across IBM Maximo, Hexagon EAM, SAP PM, Ultimo, MEX and other platforms. Our approach is platform agnostic, so we optimise for asset management outcomes rather than for any particular vendor.
Data quality usually declines through inconsistent data entry, free text failure descriptions, hierarchy changes that are never recorded after projects, missing failure codes, legacy migrations and configuration left at default settings. Each problem is small on its own, but together they undermine reporting, maintenance planning and any attempt at predictive analytics.
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