With energy cap rises, soaring fuel and energy costs, and high inflation all impacting the cost of working from home, many workers are eyeing a return to the workplace over winter to save money. While the return to the office will be welcome news for many companies, this sudden change in habits could have a big impact on workplace cleanliness. Learn how data-driven cleaning can help give your facility an advantage.
A recent OnePoll survey suggests that current workplace occupancy trends could change in the colder months, with nearly one in four (23%) hybrid workers planning to increase the frequency they head into their workplaces this winter to keep personal costs low, rising to 30% amongst 18-34-year-olds.
Research from Bloomberg also found that City of London workers prepared to go into the office every day could save about £50 per week in January 2023 if they can walk, run, or cycle into their workplace.
Higher-than-expected occupancy levels combined with demands for more stringent cleaning and hygiene practices could present several challenges this winter, especially in keeping workplaces clean. However, a holistic approach that utilises technology and data, alongside a daytime cleaning regime, can help you stay one step ahead.
Using data-driven cleaning to leverage insights
Data is everywhere. Used across the built environment to optimise everything from energy consumption to scheduling and maintenance, asset management and more, data is transforming the places where we live and work.
When it comes to cleaning, one popular value-added solution among Andron’s clients is data-driven cleaning. Using connected sensors positioned throughout a building in entranceways and areas that require regular cleaning i.e., washrooms and meeting rooms, data-driven cleaning monitors key statistics such as building occupancy levels, cleaning needs and even consumable usage in real time – empowering cleaners and managers to work more efficiently, eliminate unnecessary work, and ensure an even higher quality of cleaning.
By letting sensors throughout facilities collect data, cleaners can monitor usage changes in the building and adapt as necessary. For example, if the data shows some areas have been used more frequently than others, they can focus their efforts there and use their time more effectively.
As hybrid working and unpredictable occupancy levels become common in the workplace, data-driven cleaning can help eliminate the guesswork and provide the insights needed to make better decisions to optimise operations in the ever-changing world of work.
Improving the workplace experience
Since the pandemic, cleaning and hygiene practices in the workplace have been thrown into the spotlight. Studies clearly show a high standard of cleaning provides confidence to building users, improves productivity and enhances health and well-being – meaning less absent staff and more satisfied visitors.
Adopting data-driven cleaning can, therefore, help elevate the workplace experience by providing a safe and secure working environment, and a place where people choose to be. Moreover, targeting urgent needs, such as highly trafficked areas or empty toilet roll dispensers, reduces complaints and improves customer satisfaction.
Not only that, but data-driven cleaning also contributes to sustainability through less waste by only replenishing consumables such as toilet rolls when needed. Furthermore, this data-driven cleaning helps reduce stress and increases motivation among cleaning staff, thanks to more efficient working methods.
Find out more
Here at Andron, we like to practice what we preach, and we have already helped many of our clients implement data-driven cleaning in their workplaces. Find out more by getting in touch today: Contact Us