The Case for Comprehensive, Data-Driven Laboratory Asset Management

Why Full-Spectrum Oversight Matters More Than Ever

Why It Matters

• Inefficiency drains resources and attention; organizations lose significant time and value to unnecessary work and manual processes¹
• Unplanned downtime is a leading constraint on lab productivity²
• Data-driven asset management shifts teams from reactive fixes to proactive planning across inventory, maintenance, and spend³

What’s Inside

• A practical framework for unified asset oversight (equipment details, locations, records, files) in one platform
• How to pair usage analytics + environmental data with calendars and floorplans to plan maintenance schedules and reduce disruptions
• Steps to improve documentation and audit readiness with traceable logs, alerts, and standardized procedures
• Use cases from clean rooms and vivariums: role-based views, micro-zone monitoring, and welfare/compliance signals

Proof Points

• Better asset visibility reduces avoidable downtime and prevents costly rework²
• Moving to a data-driven model improves decision-making on maintenance timing, asset criticality, and capital planning³

References

1. McEvoy, T. Getting Started with Data-Driven Asset Management. Lab Manager (2023 Aug).
2. Duncan, R.D. Drowning in Unnecessary Work? Here’s Your Life Preserver. Forbes (2023 Mar).
3. Beckman Coulter Editorial Team. The Consequences of Unplanned Downtime in the Laboratory. (2021 Feb).