Asset Health provides Asset Managers with the opportunity to visualize the current and historical condition of assets, assess management risks, forecast maintenance and replacement costs and determine the effectiveness of the planning and scheduling functions.

This dashboard and reporting system allows Asset Managers and Planners to visualize the current plant asset health status and changes to the risk profile. It allows managers to determine on a wide scale, the maintenance debt and the overall current and long term commitments to asset management.

User Configurable

Tablet Ready

EAM / CMMS Integration

Multi-user Access & Permisions

User Friendly

Customer Support


See it live by scheduling a personal demo.



The software can be configured by the user for any array of data so that every type of condition assessment that is data can be loaded and turned into valuable information.

  • Dashboard interface shows enterprise wide asset health
  • Easily tracks asset data over time
  • Share learnings/data enterprise wide
  • Your data contributes to improved performance and reliability
  • Provides justification for reliability decision making



Each data point can be controlled with nominal values, min / max and trigger points and can be plotted on a time scale. The application of this system automatically provides a simple traffic light output that can be transferred into the EAM to provide the best of both worlds; a high level view in the EAM and a detailed view in the software.


While in principle, data regarding the condition of an asset should be stored in the EAM, the reality is that most EAM systems require a lot of configuration to accept the information and are not configured to support the change management requirements moving from one inspection interval to another and the associated approval processes that accompany the change.

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Data Mgmt Tip #1

Asset Taxonomy must include hierarchical equipment structure along with asset classification for ease of cost analysis.

Data Mgmt Tip #2

Less than 30% of organizations surveyed have confidence their asset hierarchy is accurate.

Asset taxonomy combined with nomenclature data (metadata) and performance data along with asset health information are some of the important inputs Read More

Data Mgmt Tip #3

Typical hierarchy should be 4-7 levels, starting from corporate headquarters down to a maintainable asset for cost tracking.

Data Mgmt Tip #4

Do not build your Asset Hierarchy down to a nut and bolt level as this is not cost effective.

Data Mgmt Tip #5

Multi-site companies should adopt a common taxonomy structure across plants, this will allow benchmarking with greater transparency.

Data Mgmt Tip #6

Don't include replaceable components or spare parts in the asset taxonomy; your cost/failure tracking should be on asset level.