For Asset Performance Management (APM)
Many of our customers tell us the same story: they struggle with Asset Criticality Management (ACM) and Failure Modes and Effects Analysis (FMEA) because their asset failure information isn’t captured accurately. Others say they waste hours chasing down data scattered across multiple systems, making it nearly impossible to perform effective predictive maintenance or root cause analysis. Worse yet, some organizations realize too late that their new EAM or APM upgrades won’t deliver the promised benefits if the underlying master data isn’t standardized and complete.
Does any of that sound familiar? If so, you’re not alone—and we can help. We specialize in using advanced AI and automation tools to unify, clean, and enrich your asset and maintenance data. That way, your team can confidently rely on accurate information for FMEA, ACM, predictive analytics, and other APM initiatives—ultimately reducing downtime, cutting costs, and improving reliability.
Data Silos and Fragmentation
Asset-related data often resides in multiple disconnected systems—CMMS, EAM, ERP, SCADA, IoT platforms, etc. This fragmentation prevents a unified view of asset performance, making it difficult to generate meaningful insights and comprehensive analysis.
How We Help
Our solutions and engineering services leverage advanced AI to collect, extract, and enhance master data—the foundation for any APM solution. By unifying data streams, we help you gain clear, actionable insights.
Poor Data Quality
Inaccurate, incomplete, or outdated data leads to unreliable analytics, missed trends, and flawed decision-making.
How We Help
Using AI-driven data extraction and validation, we cleanse and enrich master data to ensure your APM analytics remain accurate and relevant—minimizing errors and maximizing trust in your insights.
Lack of Consistent Data Standards and Governance
Without clear standards for naming conventions, data types, formats, and metadata, data sets vary widely across business units and geographies, making integration and analysis cumbersome.
How We Help
We use AI-based tools to standardize and enhance your master data, enforcing governance rules that lead to consistent, reliable data across the organization. This consistency is crucial for effective APM implementation.
EAM Upgrades Such as SAP S/4HANA or IBM MAS
Modern EAM platforms now include robust APM functionality for improved analytics and reporting. To fully utilize these features, you need high-quality master data within the EAM. Many organizations see their upgrade as the perfect opportunity to improve data standards.
How We Help
Our engineering services team assists you in collecting, extracting, and enhancing master data, ensuring that your upgraded EAM system fully supports advanced APM capabilities from day one.
High Initial Costs for Data Improvement
The cost of collecting, storing, and processing large volumes of master data can be prohibitive.
How We Help
Our innovative AI solutions drastically reduce the manual effort required to prepare and enhance large data sets—making it economically viable to achieve the data quality necessary for successful APM initiatives.
Ready to Optimize Your Asset Performance?
We specialize in preparing and delivering master data that serves as the foundation for Asset Performance Management. Contact us today to learn more about our engineering services and how we can help you achieve a seamless transition to high-quality data—fueling more accurate analytics, better decision-making, and improved asset reliability.