In this Ask the Expert session, our team covers how to turn analytics into actionable insights within UpKeep. You’ll learn how to interpret data, refine workflows based on trends, and build a data-driven maintenance practice.
What we cover
How to interpret UpKeep Analytics dashboards and reports
How to connect metrics to real workflow decisions
What consistent data practices look like—and why they matter for operational improvements
How to use filters, custom views, and exports to focus on key insights
How to act on trends to reduce downtime and improve team performance
Key takeaways
Analytics isn’t just reporting, it’s a tool for proactive decision-making that drives action
Understanding key maintenance metrics helps you spot bottlenecks before they escalate
Use timestamps, filters, and dashboards to tailor analytics to your unique workflows
Actionable reporting leads to measurable improvements in uptime, costs, and team efficiency
Best practices at a glance
Choose analytics views that align with your business goals
Track trends over relevant time periods (weekly, monthly, quarterly)
Use filters to segment by team, location, asset, or status
Define clear KPIs your team can own (e.g., PM compliance %, overdue work age)
Discuss analytics findings during team planning or standups
Keep a rhythm for reviewing dashboards regularly
Turning Analytics into Action
To move from seeing data to making data work, teams should:
Focus on the right metrics
Pick a handful of indicators that truly reflect your goals (e.g., PM compliance, overdue work, critical asset downtime).Identify patterns and bottlenecks
Use analytics to spot recurring issues or assets that constantly break down. These insights should drive corrective actions in planning and resourcing.Define follow-up actions
For every key insight you uncover, define a next step with an owner and deadline. Ask questions like:Which assets need updated PM intervals?
Where are technicians consistently missing checklist steps?
What work orders need clearer priority or due dates?
Review regularly
Analytics is most effective when reviewed on a consistent schedule (weekly team meetings, monthly reliability reviews), not just whenever a problem emerges.