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25/06/2026 10:47 pm
TL;DR: Access analytics can expose hidden login delays, reauthentication failures, and device bottlenecks that quietly reduce throughput on the factory floor, according to Imprivata. The governance lesson is that access friction is an operational risk, not just an IT inconvenience, because it affects productivity, shift handoffs, and frontline efficiency.
NHIMG editorial — based on content published by Imprivata: access analytics in manufacturing and hidden productivity loss
Questions worth separating out
Q: How should manufacturers use access analytics to reduce login delays?
A: Start by measuring where authentication takes longest, which devices fail most often, and which shifts show the highest retry rates.
Q: Why do shared devices create more access risk in manufacturing?
A: Shared devices create risk because every delay affects multiple workers and can stall a production sequence.
Q: What should teams measure to know whether access analytics are working?
A: Track login time, failure rate, device utilisation, and the time taken to recover from access issues.
Practitioner guidance
- Baseline login and authentication performance Measure average login time, failed authentication rates, and reauthentication frequency by site, role, and shift so bottlenecks are visible before they become normalised.
- Correlate access events with production metrics Compare access delays with MES output, device utilisation, and handoff timing to separate identity friction from equipment or staffing issues.
- Prioritise high-churn and shared-device workflows Focus first on frontline roles, shared terminals, and areas where multiple workers rely on the same devices during shift changes.
What's in the full article
Imprivata's full article covers the operational detail this post intentionally leaves for the source:
- Specific examples of login delays on the factory floor and how they affect day-to-day productivity
- Guidance on which access analytics patterns supervisors should watch during shift changes and handoffs
- Practical ways to use access data to support staffing, device placement, and workflow decisions
- How to combine access insights with broader operations data without turning the dashboard into noise
👉 Read Imprivata's analysis of access analytics for manufacturing productivity →
Access analytics in manufacturing: what is your team missing?
Explore further
25/06/2026 11:27 pm
Access friction is a governance signal, not just a productivity complaint. Manufacturing teams often treat slow logins and device bottlenecks as local nuisances, but they are evidence that identity controls are interfering with workflow design. When the same friction repeats across shifts or locations, the problem is structural rather than anecdotal. Practitioners should read these patterns as a sign that access governance and production operations are misaligned.
A few things that frame the scale:
- 75% of organisations expressing strong confidence in their secrets management capabilities, according to The State of Secrets in AppSec.
- Only 44% of developers are reported to follow security best practices for secrets management, exposing a significant developer behaviour gap.
A question worth separating out:
Q: Who should act when access friction is hurting factory output?
A: Identity teams, operations leaders, HR, and frontline supervisors should all be involved because the problem spans access policy, shift design, device placement, and worker training. The right response is cross-functional, since no single team owns the full bottleneck.
👉 Read our full editorial: Access analytics in manufacturing: where login delays hide productivity loss
