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How Your University Can Use Data Analysis To Improve Your Custodial Services

TRAX Analytics

February 2, 2022

University campuses are gradually bringing students and staff back to on-campus, live classroom learning. To create the safest environment possible for those returning to instruction, custodial teams are increasing their sanitation efforts. Doing so, especially in larger institutions requires planning, adequate staff availability, and in depth understanding of the way spaces are utilized.

By implementing data analysis into the provision of custodial services, cleaning teams can more effectively deliver a high standard of service, as well as manage staff numbers and shift timelines.

Data Helps Improve Quality Control

Making data analysis part of custodial service is crucial in ensuring that a constant performance standard is met throughout different areas within a facility. Data collection and analysis not only provides custodial teams with information about how heavily trafficked a given area is, but also helps teams determine how long it will take to adequately clean each area.

Regardless of how often an area is populated by visitors and staff, a standard must be reached in every location, from classrooms to restrooms. By having data to estimate the degree of cleaning required in certain areas, custodial teams are better equipped to plan work accordingly.

Data Allows Better Collaboration

Collecting and analyzing data for custodial teams not only helps improve quality control, but also makes team collaboration easier. When teams are aware of how much work is needed in a given area, managers can dispatch the required number of staff members to that space, while sending other teams to begin work in separate locations. This way, staff members are able to work together to complete services where they’re most needed.

Data Aids in Time Management

In addition to establishing traffic in visitor areas, custodial data can aid managers in ensuring that shifts are adequately staffed, and teams are dispatched to handle the correct level of work for their numbers.

Data analysis can also aid in scheduling custodial work and ensuring that time-sensitive tasks are completed. By monitoring which areas are vacant at certain times of the day, custodial staff can more effectively clean during these times, without interfering with instruction periods or letting high-traffic areas go too long between cleanings.

Using data to improve custodial services can meet a number of needs that would otherwise have to be handled by human staff members. Traffic maps, staff schedules, real-time alerts, and quality control reports are only a few of the many features that custodial data provides.

As such, data analysis has become a crucial part of custodial services in universities and other large institutions.