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.

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60
%
Of CMMS and EAM implementations have data quality issues that limit analytical capability
30
%
Average improvement in maintenance planning accuracy after data quality remediation
6
+
Major CMMS and EAM platforms supported including Maximo, Hexagon, SAP PM, Ultimo, and MEX

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.

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we work hard to deliver incredible value to our clients.

Asset Hierarchy and Data Quality Audit

We audit your CMMS/EAM asset hierarchies for completeness, consistency, and alignment with physical asset configurations. Our reviews cover parent-child relationships, location hierarchies, failure codes, and classification structures across any platform — ensuring data supports both operational and analytical requirements.

Maintenance Strategy Alignment

We review and align your CMMS preventive maintenance programs with RCM-based maintenance strategies. This ensures PM tasks, intervals, and job plans reflect actual asset criticality and failure modes rather than arbitrary schedules — regardless of whether you run Maximo, SAP, Hexagon, or another system.

Reporting and Analytics Enablement

We configure reporting structures and data extraction processes to support advanced analytics. Our work ensures that the data flowing from your CMMS or EAM into dashboards, business intelligence tools, and predictive models is clean, consistent, and contextually meaningful.

Tagline

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.

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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.

Where theory meets execution

See how we’ve applied our ideas to generate generational changes within our comunity.

CMMS & EAM Data Quality Consulting
Transport
Automated Annual Works Planning from Maximo | Yarra Trams

Automated Annual Works Planning from Maximo | Yarra Trams

SAS-AM developed an automated works planning tool for Yarra Trams that transforms IBM Maximo PM rule data into three-year forward maintenance forecasts. The solution replaced a manual process that consumed 4–6 weeks of senior planner time annually, delivering complete fleet-wide forecasts in hours with improved accuracy and resource visibility.
CMMS & EAM Data Quality Consulting
Water
Asset Management Software Requirements and Market Evaluation for Westernport Water

Asset Management Software Requirements and Market Evaluation for Westernport Water

SAS-AM delivered a comprehensive four-phase programme to define Westernport Water's future asset information and works management system requirements. From stakeholder mapping and user assessments through to future state definition and market evaluation, we provided WPW with the evidence base and implementation roadmap needed to replace outdated software with a modern, integrated platform.

FAQs

Learn more about what our clients ask us.

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FMECA and RCM Engineering

SAS-AM delivers FMECA, RCM, and reliability engineering services that optimise maintenance strategies and reduce asset failure risk. Our data-driven approach combines traditional reliability methods with AI and machine learning to extend asset life and improve operational performance across Australian industries.

Asset Management Maturity Assessment

SAS-AM delivers IAM-endorsed asset management maturity assessments aligned with ISO 55001 and GFMAM. We benchmark your organisation's practices, identify capability gaps, and provide actionable roadmaps for continuous improvement across all asset classes.

Advanced Analytics for Smarter Asset Management

AMiPU is SAS-AM’s advanced AI and Machine Learning platform, designed for offline, high-performance analytics powered by NVIDIA GPUs. It delivers predictive insights, automation, and real-time decision-making without relying on cloud connectivity, ensuring security and efficiency in asset management.

Building your best future with CMMS & EAM Data Quality Consulting

Shaping the conversations and future of nations, states and regions, we passionately guide stewards to think-well, act-smart and create life-changing impact. One asset at a time.

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