Fortunately, collecting and analyzing data related to custodial needs and activities is improving the way that commercial cleaning services are performed.

Let’s examine how data analysis works in the custodial service industry.

Inventory Stocking in Restrooms

When it comes to keeping restrooms clean in commercial businesses, data analysis is crucial. By keeping accurate records of restocking needs (soap, toilet paper, paper towels, trash liners), businesses can better ensure that high-traffic restrooms are properly stocked at all times. Keeping up with sanitation practices, like emptying trash bins and refilling soap, can prevent the spread of bacteria to other areas of the building.

Data Tracks Facility Traffic

Collecting and analyzing data in commercial office buildings can keep track of the building’s traffic. Data can determine which facilities, rooms, passageways, and floors are frequented by the majority of occupants.

As such, custodial teams can use this data to plan to clean services, prioritizing high-traffic areas over those that see very little traffic.

Data Factors Activity into Custodial Plans

Not only does custodial data track how heavily trafficked a given area is, but they also determine how spaces are utilized.

For example, while an office space may be open to the individuals working in the building, only certain areas within that space are going to see a lot of traffic and usage.

An office area where employees complete the majority of their work will likely need deeper cleaning services than a small alcove where the copy machine is located.

Traffic and usage are both significant factors to consider when it comes to planning out how custodial services should be dispatched.

Understanding data and using it to a custodial team’s advantage can help ensure that proper cleaning protocols are developed, and time is put to its best use. Thanks to data analysis and custodial planning, businesses can save significantly while still keeping up with sanitation requirements.