Data-Driven Decision Making in Facilities
Data-Driven Decision Making in Facilities is the process of making strategic facilities management decisions based on empirical and analyzed data, deriving insights from statistical trends, patterns or anomalies within the facility's operations, energy usage, maintenance costs, occupancy footprint, and other key performance indicators.
Level 1: Emerging
At an emerging level, you are starting to apply data analysis to inform basic decisions in Facilities management, demonstrating understanding of key metrics' implications on operational efficiency.
Level 2: Proficient
At a proficient level you are able to analyze data effectively to make informed decisions related to facility management, utilizing data-driven insights to optimize resources and enhance operational efficiency.
Level 3: Advanced
At an advanced level, you are adept at leveraging data analytics to make strategic decisions in facilities management, driving efficiency, cost savings, and optimal use of resources.
