What does the Work Orders in Enterprise Asset Management Dataset include?
The Work Orders in Enterprise Asset Management Dataset includes 1,572 analysis-ready work order records in Excel and CSV formats, categorised by maintenance type, asset class, priority, and cost. It also contains 240 standard work order templates, 360 ISO 55000-aligned records, and a 48-criteria self-assessment matrix covering planning, compliance, and performance tracking, delivered as an instant digital download.
Are you failing to uncover hidden inefficiencies in your enterprise asset management (EAM) work orders, putting operational reliability, audit readiness, and regulatory compliance at risk? The Work Orders in Enterprise Asset Management Dataset is a comprehensive self-assessment solution that equips compliance managers, asset performance leads, and EAM analysts with 1,500+ structured work order records to benchmark, evaluate, and optimise asset maintenance workflows. Without validated benchmarks, organisations risk missed KPIs, unauthorised downtime, and failed SOX, ISO 55000, or internal audit reviews, this dataset eliminates guesswork by delivering real-world, analysis-ready work order data mapped to global best practices.
What You Receive
- A complete Excel and CSV dataset of 1,572 enterprise-grade work orders, categorised by asset type, priority level, maintenance strategy (reactive, preventive, predictive), and work order status, enabling immediate import into EAM systems like SAP, IBM Maximo, or Infor EAM for comparative analysis
- 240+ standard work order templates with predefined labour estimates, parts lists, safety tags, and approval workflows, reducing planning time by up to 60% and standardising execution across teams
- 360 verified work orders mapped to ISO 55000 and PAS 55 maturity criteria, including condition-based triggers and failure mode codes, supporting compliance audits and asset management certification
- 420 work orders with full cost tracking: labour hours, material spend, contractor fees, and downtime impact, allowing precise ROI calculation per maintenance activity
- 210 emergency and critical-path work orders with root cause classifications and resolution timelines, helping you model response SLAs and improve MTTR
- Integrated metadata fields: work order duration, planner name, executing team, asset criticality score, backlog status, and completion verification method, enabling advanced analytics and performance benchmarking
- Self-assessment scoring matrix with 48 evaluation criteria across five maturity domains: Planning & Scheduling, Resource Allocation, Compliance & Safety, Cost Control, and Data Integrity, delivering a repeatable process to assess and justify improvement initiatives
How This Helps You
This dataset transforms how you evaluate and improve your EAM programme. By comparing your actual work order patterns against 1,500+ validated records, you can identify delays, cost overruns, and planning gaps before they trigger equipment failure or audit findings. Use the built-in maturity assessment to score your current processes and generate a prioritised remediation roadmap, aligning teams around measurable improvements. Without benchmark-quality data, you risk inefficient maintenance spend, undetected compliance drift, and poor decision-making under pressure. With this dataset, you gain objective evidence to justify system upgrades, staffing changes, or new technology investments, reducing operational risk and strengthening governance across your asset portfolio.
Who Is This For?
- EAM analysts and data modellers who need clean, categorised work order data to test reporting logic or train predictive maintenance models
- Asset managers responsible for ISO 55000 compliance, audit preparation, or benchmarking maintenance performance across sites
- Reliability engineers building preventive maintenance strategies and seeking proven work order structures
- IT and EAM system administrators configuring SAP or Maximo workflows and requiring realistic test datasets
- Consultants developing EAM maturity assessments or digital transformation roadmaps for clients
- Operations leads aiming to reduce backlog, improve schedule compliance, and demonstrate cost control to executives
Purchasing the Work Orders in Enterprise Asset Management Dataset is not an expense, it’s a strategic move to strengthen asset reliability, defend audit outcomes, and accelerate performance improvement. You gain immediate access to a professional-grade, instantly downloadable dataset that would take months to compile internally. Make decisions backed by real-world evidence, not assumptions.