Enhance productivity with access analytics on the factory floor
Small delays can cause big disruptions on the factory floor. From login lags to device bottlenecks, access analytics give manufacturers the visibility to find and fix hidden inefficiencies so productivity doesn’t slip through the cracks.
You can’t fix what you can’t see. In manufacturing, where every second matters, invisible delays in digital workflows can quietly drain productivity. From device handoffs to login failures, small inefficiencies add up. But access analytics give manufacturers the visibility they need to turn those gaps into gains.
Where productivity slips through the cracks
Factories today rely on a mix of connected devices, shared terminals, mobile tools, and cloud applications. But as systems grow more complex, it gets harder to track where time is being lost.
Common culprits include delays during shift changes, inconsistent access across roles, or equipment bottlenecks caused by authentication issues.
Access friction also slows down new hire productivity. Without real-time access data, IT teams struggle to identify where bottlenecks happen or why login times vary so widely across teams and devices.
What access analytics can reveal
Access analytics uncover patterns that traditional reporting misses. They show how long users spend logging in, where failures or reauthentication requests occur, and whether devices are underutilized or overwhelmed.
These insights help supervisors answer questions like:
- Why is this line slower on third shift?
- Are workers waiting on device availability?
- Which logins take the most time, and why?
This data is especially valuable in high-churn environments or where multiple roles use the same devices. Instead of relying on anecdotal feedback, teams can use hard numbers to pinpoint problems and prioritize improvements.
Turning insight into output
Once delays are visible, they’re easier to solve. For example, if analytics show that badge authentication fails frequently on a specific terminal, IT can inspect or replace that device. If one role consistently has longer login times, access policies can be streamlined.
Over time, these adjustments compound. Faster device access during shift changes improves handoffs. Standardizing login processes reduces confusion and support calls. Better placement of shared devices shortens wait times. Each fix returns minutes to the clock.
Best practices to drive value from access analytics
- Benchmark current performance. Establish baseline metrics like average login time, failed authentication rates, and device utilization.
- Prioritize high-impact areas. Focus on shared devices, high-turnover roles, and locations with known performance issues.
- Share findings with supervisors. Use access data to support decisions about staffing, device placement, or workflow changes.
- Track progress. Monitor trends over time to ensure fixes are working and to identify new areas for optimization.
Empowering frontline supervisors with data
Access analytics aren’t just for IT. When supervisors understand where access friction is occurring, they can make informed decisions about shift scheduling, device allocation, and employee training. Giving team leads access to simple dashboards turns data into a daily tool – not just a back-office report.
For instance, if a supervisor sees that certain terminals experience high failure rates during a specific shift, they can preemptively reassign resources or notify support. This proactive approach improves team performance without adding overhead.
Integrating access insights with broader operations data
To get the most value, access analytics should not operate in a vacuum. When paired with manufacturing execution system (MES) data, access trends can help explain anomalies in production output. Slower batch times or higher error rates may be linked to access delays or login failures.
Integrating IAM analytics into existing dashboards enables cross-functional teams like operations, IT, and HR to collaborate more effectively. Together, they can resolve root causes of inefficiency and make smarter long-term investments in tools, training, and technology.
Optimizing access allows for enhanced productivity
Manufacturers have long optimized machinery, inventory, and labor. Now it’s time to optimize access. Tapping into the analytics of how effectively your people are receiving access provides a clear view into the moments that slow your team down so you can fix them before they become problems.
Because when access works better, people work better. And that’s how productivity grows, one login at a time.