## 4 Results
### Artificial Intelligence
#### 4.4.3 Smart KPIs  
Each group of CFKPIs became an SKPI that was previously unknown, and CFKPIs in a group were treated as variables. Using Equation (10) of Section 3.3.3, the most dominating variables of each SKPI were measured, and the enterprise functions associated with the dominating variables (variables with the most variances or factor loadings) became the proprietors of the SKPI. An SKPI belonged to a single enterprise function if the dominating variables were from the same enterprise function or to more enterprise functions if more than one associated variable from different enterprise functions equivalently dominated that particular SKPI. Figure 12 depicts the SKPIs with associated variables, factor loadings, and enterprise functions. The grouping of CFKPIs resulted in the creation of previously unknown SKPIs, with CFKPIs within each group being treated as variables. Utilizing Equation (10) of Section 3.3.3, we identified the most dominant variables within each SKPI and determined the associated enterprise functions. Specifically, the enterprise functions corresponding to the dominant variables (i.e., those with the highest variance or factor loadings) became the owners of the respective SKPIs. An SKPI was assigned to a single enterprise function if the dominant variables originated from the same function. Conversely, an SKPI could be associated with multiple enterprise functions if multiple dominant variables from different functions exhibited equivalent influence on that particular SKPI. Figure 13 provides a visual representation of the SKPIs, including their associated variables, factor loadings, and enterprise functions. The analysis revealed the dominant enterprise functions associated with each SKPI. Specifically, the SKPIs were dominated by variables from the following enterprise functions: SKPI 1 (Logistics); SKPI 2 (Maintenance and Finance); SKPI 3 (Finance and Planning); SKPI 4 (Finance); SKPI 5 (Logistics and Finance); SKPI 6 (Production); SKPI 7 (Logistics, Finance,  
Figure 13: New SKPIs for the year 2015.  
and Maintenance); SKPI 8 (Maintenance); SKPI 9 (Production and Maintenance); SKPI 10 (Planning); and SKPI 11 (Logistics and Maintenance). Figure 14 illustrates the new SKPIs in order of dominance for the year 2015. The mapping of SKPIs to their corresponding enterprise functions provided valuable insights into the correlations between SKPIs, variables, and enterprise functions. The dominant enterprise functions represented shared objectives that the variables within each SKPI strived to achieve. This is substantiated by the ID and CLD presented in Section 4.4.1. For instance, the most influential variables in the 1 st SKPI originated from the Logistics enterprise function, as illustrated in Figure 11. The overarching goal of these variables was to optimize logistical planning accuracy, as depicted in Figure 8 of Section 4.4.1. Similarly, the 2 nd SKPI's dominant variables belonged to the Maintenance and Finance enterprise functions, as shown in Figure 11. The common objective of these variables was to optimize maintenance adherence, thereby reducing unplanned and costly downtime, as illustrated in Figure 10 of Section 4.4.1. This analysis revealed precise correlations between dominant enterprise functions and the shared goals of variables within respective SKPIs. Each SKPI comprised variables from multiple enterprise functions, each encompassing various business functions. These business functions, in turn, consisted of multiple processes across different organizational levels. Each process comprised several process steps, which utilize various resources. This hierarchical structure enabled the mine to pinpoint specific business functions, processes, process steps, and resources that required optimization to achieve the shared objectives of the variables within a particular SKPI. By identifying the enterprise functions that encompassed the most dominant variables within SKPIs, the mine could focus its attention on the relevant business functions, processes, process steps, and resources.