A Strategy at the Top and a Disconnect at the Bottom
The operation had no shortage of metrics. At the executive level, strategic KPIs were clear. At the operational level, people were measured and reviewed. But between the two, there was a gap that no dashboard could close.
The teams doing the work each day could not see how their decisions connected to the numbers the executive team was managing. Frontline supervisors were focused on their immediate outputs without a line of sight to the value drivers that mattered most to the operation as a whole. Managers were making decisions based on experience and instinct rather than a structured understanding of which operational levers had the greatest impact on performance.
The organisation had data. It had targets. What it lacked was a system that translated strategic intent into operational action at every level, from the boardroom to the coalface.
The Dashboard Was Not the Problem. The Translation Layer Was.
Most mining operations invest heavily in reporting. They build dashboards, track KPIs, and hold regular reviews. But reporting tells you what happened. It does not tell people what to do next, or why it matters.
What we identified in this operation was a missing translation layer: the structure that connects what the EVP is accountable for to what a frontline supervisor should be focusing on during a shift. Without that connection, strategic priorities and daily operational decisions exist in parallel rather than in alignment. People are not ignoring the strategy. They simply cannot see it from where they sit.
The work was not about creating more metrics. It was about building a system that made the existing metrics meaningful at every level of the organisation.
Connecting the Boardroom to the Coalface
The engagement had two interconnected workstreams.
The first was the design and build of a Value Driver Tree spanning the complete mining value chain. Through facilitated workshops with teams at every level, we mapped the operational drivers that connected strategic outcomes to daily activities. The VDT was then structured around levels of work: the EVP focused on long-interval strategic performance, EXCO and OPCO on the overall operational picture, VPs on value stream performance, operational and engineering managers on activity-level drivers, and frontline teams on short-interval control. Each level could see its part of the picture and how it connected to the whole.
The VDT was built into a digital analytics platform, giving the organisation a live, visual tool that replaced static reports with a dynamic, cascading view of performance from top to bottom.
The second workstream was the operating model and capability build. We designed the management routines and work management system that would make the VDT actionable: the daily, weekly, and monthly rhythms that ensured people were not just seeing the numbers but acting on them. The BI team was developed through experiential simulation and on-site coaching to provide the analytical backbone the operation needed. On-site workshops and change management supported the transition from old ways of working to a system where planning, scheduling, execution, and review were connected and consistent.
From Metrics on a Screen to Decisions on the Floor
The VDT gave the organisation something it had never had: a single, connected view of performance that every level could read and act on. Executives could see where value was being created and where it was being lost. Managers could identify which operational levers to focus on. Frontline teams could see how their shift performance connected to the broader operation.
The operating model gave the routines and disciplines to use it. The BI team was now capable of running the analysis independently, identifying patterns, and feeding insights into the management process. Decisions that had previously been made on instinct were now grounded in a shared understanding of where the operation stood and what needed to happen next.
The Gap Is Never Data. It Is Always Translation.
Mining operations do not lack information. They lack the structure to make information useful at the point where decisions are made. A KPI that lives on a dashboard in the boardroom but cannot be traced to a specific action on a specific shift is not a performance measure. It is a number.
The organisations that consistently outperform are not the ones with the most data. They are the ones that have built the translation layer between strategy and execution: a system where every person, at every level, can see what they are responsible for, why it matters, and what good looks like. That is not a reporting problem. It is an operating model problem.
