In large complex industrial organizations, the greatest challenge is not a lack of data; it is connecting systems organizations have to the work people do and the decisions they make every day. Every decision from the frontline to the executive level is influenced by the quality of information available and how well an organization’s systems support the people using it.
The challenge when it comes to compliance is similar. Industrial organizations operate with hundreds or thousands of regulations, permits, standards, and obligations. Therefore, they must develop plans to meet the requirements within these expectations. The problem is not that the information doesn’t exist, it is being able to link the relevant data to the requirement(s) in question and knowing what information stakeholders need and the appropriate medium to furnish them with it.
Compliance on demand is the ability to continuously monitor expectations, translate them into requirements, integrate these requirements into operating systems and monitor that requirements are being met through operations. This is the shift from ‘checking’ compliance to automating compliance.
Manual analysis of compliance is massive undertaking. People are expected to define a specific requirement, interpret it consistently, determine where within the operation it applies, confirm that operational activities are meeting the requirement, and document the evidence - all while managing the day-to-day operational demands.
An audit action tracker register can tell you what gaps were identified in the past, what actions have been completed, when, and what is overdue. However, this tracker will not tell you if requirements have changed, how that effects the operating system – specifically which policies, standards, procedures etc. that require updating.
Technology exists to close the gap between system performance and human decision-making. Its role is not to collect more data; it is to connect organizational systems to the work people do and the decision they make every day.
One of the most common objections is: “We don’t have the data.” But in reality, most organizations already have about 80% of the data they need. The problem is that it’s scattered, underutilized, or not framed in a way that supports decisions. The data exist in a multitude of files that can be impossible to find or even harder to understand. Data collection and capture is rarely the problem; it is the systems existing within the organization that create friction between the information and the decision-maker in need.
Results do not improve because they are measured. They improve because the systems that produce them are continuously understood, analyzed, and improved. When organizations connect their systems to the work people do and the decisions they make, they create conditions for better performance, better decisions, and better results.
Stop watching the scoreboard. It won’t tell you where to move. Get on the field. Watch your systems. Understand your barriers. And build an organization that can probe and respond, not just survive. Command performance. Don’t just track it.
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