Variability is inevitable. Performance is not only impacted by business driven factors but also by external uncontrollable factors such as demographics, economy, seasonality and competition. As such, it is absolutely vital to understand and quantify these causes of variability before goals are set and results are evaluated. The traditional approach to model variability is to develop “best-fit” functions on observed performance. The result is a model that builds in inefficiencies because it is drawn from the averages of top and bottom performers. Furthermore, traditional models are also severely handicapped when dealing with multiple, conflicting and non-linear objectives such as productivity, customer service and profitability.
KIRAN Analytics has developed a breakthrough methodology that is based on the identification of the true top performers and setting targets based on top performance. This methodology provides clear insight into the true potential of each unit compared to best-in-class performance on multiple metrics. Retail operations are provided with the ability to recognize previously “invisible” opportunities. Moreover, the model identifies the controllable factors that can help underperforming units become best-in-class.
KIRAN Analytics will help you retain your best managers by identifying your true performers. Instead of rewarding or relieving managers based on how they performed compared to arbitrary standards, you’ll know who is performing best, taking into account the unique circumstances of their own unit.