Method and system for managing performance indicators for addressing goals of enterprise facility operations management

An auto-learning performance device comprising:

• a processor;
• and
• a memory, communicatively coupled to the processor, which stores processor executable instructions, which, on execution, causes the processor to:
• integrate operations data associated with an enterprise, received from one or more sources and an indicator management database;
• derive one or more Key Performance Indicators (KPIs), one or more thresholds and one or more metrics based on the integrated data and goals of facility operations management;
• determining, by the auto-learning performance system, one or more factors affecting performance of the KPIs and one or more factors affecting performance of the one or more thresholds;
• create a comparability matrix based on the one or more factors affecting performance of the KPIs and the one or more factors affecting performance of the one or more thresholds to identify clusters of objects, corresponding data points and techniques to be used for normalization of the one or more KPIs;
• normalize the one or more factors affecting the performance of the KPIs based on at least one of the clusters of objects, the corresponding data points or the techniques for normalization to provide normalized data;
• assess performance of KPIs based on the one or more thresholds, the comparability matrix and associated patterns of the normalized data to derive KPI performance insights;
• provide the one or more KPIs, the KPI performance insights and the one or more factors affecting performance of the KPIs to a user, through an interactive visualization based on user profile;
• fine-tune the one or more KPIs based on the performance of KPIs, the one or more thresholds and the one or more metrics through machine-learning techniques;
• enhance along with the one or more KPIs and the interactive visualization based on one or more patterns of usage of the interactive visualization and the fine-tuning, thereby dynamically managing performance indicators for an enterprise to address the goals of facility operations management.

A non-transitory computer-readable medium storing instructions for dynamically managing performance indicators for an enterprise to address goals of facility operations management, wherein upon execution of the instructions by one or more processors, the processors perform operations comprising:

• integrating operations data associated with an enterprise, received from one or more sources and an indicator management database;
• deriving one or more Key Performance Indicators (KPIs), one or more thresholds and one or more metrics based on the integrated data and goals of facility operations management;
• determining one or more factors affecting performance of the KPIs and one or more factors affecting performance of the one or more thresholds;
• creating a comparability matrix based on the one or more factors affecting performance of the KPIs and the one or more factors affecting performance of the one or more thresholds to identify clusters of objects, corresponding data points and techniques to be used for normalization of the one or more KPIs;
• normalizing the one or more factors affecting the performance of the KPIs based on at least one of the clusters of objects, the corresponding data points or the techniques for normalization to provide normalized data;
• assessing performance of KPIs based on the one or more thresholds, the comparability matrix and associated patterns of the normalized data to derive KPI performance insights;
• providing the one or more KPIs, the KPI performance insights and the one or more factors affecting performance of the KPIs to a user, through an interactive visualization based on user profile;
• fine-tuning the one or more KPIs based on the performance of KPIs, the one or more thresholds and the one or more metrics through machine-learning techniques;
• enhancing along with the one or more KPIs and the interactive visualization based on one or more patterns of usage of the interactive visualization and the fine-tuning, thereby dynamically managing performance indicators for an enterprise to address the goals of facility operations management.