Geographic Information Systems (GIS) can significantly enhance Enterprise Asset Management (EAM) by providing spatial context and advanced analytical capabilities.

36 things you can profitably do with GIS in EAM:

1. Spatial Asset Mapping: Visual assets on maps using GIS to simplify locating and managing them geographically.
2. Asset Inventory Management: Create and maintain an accurate inventory of all assets, including their geographic locations.
3. Infrastructure Mapping: Utilities benefit from GIS for mapping water, wastewater, electrical, and communication networks
4. Asset Lifecycle Management: From acquisition to decommission, manage assets holistically
5. Historical Data Analysis: Analyze asset performance over time.
6. Asset Tracking and Monitoring: Track the real-time location and status of movable assets such as vehicles, machinery, and equipment.
7. Maintenance Scheduling: Use spatial analysis to plan and optimize maintenance schedules based on asset locations and conditions.
8. Work Order and Project Management: Integrate GIS with work order systems to visualize and manage the geographic distribution of work orders.
9. Work Order and Project Assignment: A EAM/CMMS with GIS can use geographical tool to assign the best people to individual or groups of Work Orders or a project.
10. Field Data Collection: Enable field workers to collect and update asset data using mobile GIS applications. The most powerful typically is using GPS enabled mobile devices, this is then combined with direct measuring devices entered using the mobile devices when more precision is needed.
11. Condition Monitoring: Use GIS to monitor the condition of assets over time and identify trends or areas needing attention.
12. Risk Assessment: Conduct spatial risk assessments to identify assets at risk due to natural disasters, environmental factors, or other hazards.
13. Property Management: Maintain property lines and map school districts using GIS
14. Resource Allocation: Optimize the allocation of resources such as maintenance crews and materials based on geographic needs and priorities.
15. Service Area Analysis: Analyze service areas and coverage to ensure efficient and effective service delivery.
16. Route Optimization: Plan and optimize routes for maintenance crews, reducing travel time and operational costs.
17. Energy Efficiency: Optimize energy usage based on spatial data.
18. Safety Inspections: Map safety equipment and inspection points. Ensure all inspections are done in an area.
19. Incident Management: Quickly respond to incidents by visualizing the locations of affected assets and resources.
20. Incident Visualization: Quickly visualize geographically series of incidents to see if there are any geographic patterns
21. Healthcare Equipment: Ensure critical medical equipment is operational and compliant
22. Environmental Compliance: Monitor environmental assets and compliance zones using spatial data.
23. Regulatory Compliance: Ensure compliance with regulatory requirements by tracking and managing assets within specific geographic zones.
24. Stakeholder Communication: Use GIS to create maps and visualizations that effectively communicate asset information to stakeholders.
25. Lifecycle Analysis: Analyze the lifecycle of assets spatially to make informed decisions about repair, replacement, or retirement.
26. Integration with IoT: Integrate GIS with IoT sensors to visualize and analyze real-time data from assets.
27. Spatial Data Analysis: Perform advanced spatial analysis to identify patterns, correlations, and insights related to asset management.
28. Emergency and Disaster Management:: Use GIS for disaster response, evacuation planning, and resource allocation
29. Capital Planning: Support capital planning and budgeting by visualizing the spatial distribution of assets and planned projects.
30. Land Use Planning: Analyze land use patterns and plan maintenance accordingly.
31. Facility Management: Manage campus facilities, track repairs, and automate tasks
32. Customer Service: Enhance customer service by providing accurate and up-to-date information about asset locations and conditions.
33. Predictive Maintenance: Use spatial data and analytics to predict when and where maintenance is likely to be needed.
34. Training and Simulation: Use GIS for training purposes, simulating various scenarios to improve response and maintenance strategies.
35. Regulatory Compliance: Map assets related to compliance requirements. Validate that an area has had required compliance adhered to.
36. Collaboration: Share spatial data across teams for better decision-making.

Summary:

You might combine some of the above into 1, you might split some above into 2. Some may be missing. You might think of some we didn't (let us know, we'll add it to the list) But that's not the point, the point is:

By leveraging GIS capabilities, organizations can enhance their EAM processes, leading to improved efficiency, cost savings, and better decision-making.