A dashboard that does not change decisions is only decoration.
This fall, dashboard discussions will be prominent. At PRINTING United Expo, attendees will see a wide range of screens showcasing software, AI, workflow automation, and shop-floor visibility tools. Print leaders may be inclined to focus on which dashboard appears most visually appealing or user-friendly.
A more important question is which dashboard influences the next decision.
Many print operations already display extensive data, including counts, colors, trend lines, queues, and KPIs. Despite increased visibility, teams continue to hold the same production meetings each week. Job delays remain difficult to diagnose, idle time is explained retrospectively, and waste is reviewed only after completion. Supervisors often search through reports instead of taking timely action, even when recovery is still possible.
This is dashboard theater. While the data is typically accurate, the critical gap remains between observation and action.
Decision intelligence begins with role-specific needs. Executives require visibility into capacity, profitability, waste, overtime, SLA risk, and opportunities for improvement. Plant managers need insights into bottlenecks, trends, and resource constraints. Supervisors need actionable time, while operators benefit from simple prompts that support workflow without adding to their workload.
A single dashboard for all users often results in information overload and reduced effectiveness.
The next step is to manage by exception. When machines, jobs, shifts, queues, applications, or departments operate within expected limits, the system should remain unobtrusive. If performance deviates, the appropriate individual must receive a clear, contextual alert. This should include details such as the job, the device, the duration, the cause, recurrence, and any potential downstream impact.
This approach shifts the operating rhythm. Morning meetings can focus on current issues rather than past events. Weekly reviews can address recurring patterns, maintenance can be prioritized based on actual performance, estimating can compare assumptions to production data, and vendor discussions can be grounded in factual evidence.
For this reason, the most effective analytics programs typically begin with a limited set of KPIs. Metrics such as availability, runtime, idle time, downtime reasons, waste, throughput versus expectations, and SLA risk are often sufficient. Success depends less on the number of measures and more on consistent follow-through.
As shops assess new tools at PRINTING United, the key question is whether the visibility provided enables faster, better decision-making. If so, the objective is achieved: not merely viewing dashboards, but acting on operational insights.
Visit us at PRINTING United Expo, September 23–25, Las Vegas Convention Center, Booth N6349.