To effectively manage a large real estate portfolio, facility managers depend on facility condition assessments. They inspect 1,000s of mechanical, electrical, plumbing, and other systems in each of their buildings.
These assessments are critical to understanding maintenance needs, determining assets’ remaining useful life, and creating accurate capital replacement plans.
Despite advances in facility management technologies, many facility managers still rely on manual, paper-based processes that are inherently inefficient, error prone, and cumbersome. Much of the data collected is inaccurate, inconsistent, and based on subjective criteria. Because the data is typically not aggregated in a single repository, facility managers are unable to leverage the power of predictive analytics. Legacy systems often present inflexible environments that cannot be easily adapted to a rapidly changing business environment.
These challenges lead to inaccurate analysis results, suboptimal decision making on asset investments, as well as increased risks of business disruption, health/safety incidents, and regulatory violations. This can potentially cost an organization considerable time and money.
Facility managers need a more efficient and effective solution to conduct these important inspections.
