• Identify gaps and inadequacies in CMMS or EAM data
• Report on data compliance in a CMMS or EAM system (IBM Maximo, SAP PM, Oracle eAM, Infor EAM, and others)
• Monitor the progress of a data build or data repair project
• Communicate data quality issues to consultants and contractors

Be confident that the data driving maintenance activities is the right data.

• Convert EAM and CMMS data for acquired assets to new corporate data standards
• Reflect repairs and changes to the physical plant in the CMMS maintenance master data
• Optimize or change maintenance strategies for existing assets
• Perform plant and warehouse walk-downs to ensure the CMMS data reflects the physical plant
• Optimize inventory by matching vendor recommended parts to inventory parts, eliminate duplicate parts, and identify obsolete inventory

Repair data quickly and easily, for the last time.

• Perform plant walkdowns to compare CMMS or EAM data with the physical equipment installed, and ensure they match
• Conduct warehouse audits to analyze and optimize spare parts inventory

Ensure the asset hierarchy is correct, reduce unnecessary duplication of spare parts, and ensure critical spares are stocked.

• Lower the cost of building BOMs
• Quickly identify the correct parts to plan, schedule, and complete work orders
• Easily monitor the progress of a BOM building project
• Reduce the costs associated with duplicate parts
• Improve the quality of existing BOMs

• Automatically organize and index maintenance documents into a corporate Document Management System
• Easily keep the organization and indexes of documents up to date when assets or asset attributes change
• Save maintenance workers time locating the latest engineering data and drawings
• Search, filter, and report on structured information to find documents and implement new maintenance and reliability programs

Keep all maintenance documentation, drawings, photos, parts catalogs, and engineering documents at the fingertips of maintenance personnel.

• Avoid human errors and delays that can result in costly retagging or mistagged assets
• Easily conform to corporate standards for tagging assets in a meaningful manner
• Automatically ensure tags are complete, unique, and approved
• Speed up the allocation of tags

• Automate and document the process of making, approving, and changing CMMS asset and maintenance data

Be assured that corporate standards are adhered to with every change, changes are approved, and that data is current and accurate.

• Visualize, prioritize, and build asset and maintenance data quickly
• Measure and report on KPIs tracking the progress of the cleansing process
• Create reusable standards for common data, make bulk changes efficiently, and repair EAM data by direct editing, dragging/dropping, and copying/pasting
• Use out-of-the-box KPIs and class and characteristic libraries to save time and adhere to industry standards
• Automate and validate task and approval processes efficiently and flexibly

Be confident that your EAM master data is complete, accurate, and error-free.

• Quickly load historical work orders exported from EAM solutions
• Compare money and time spent to industry norm
• Consistent maintenance work practices across business units
• Save time on maintaining equipment
• Schedule and plan work orders effectively 
• Identify which assets/tasks are costing the most money

Better Work Order Analysis leads to better maintenance!