A maintenance request is not just a task. It is a signal from the building. A flickering light, repeated AC complaint, plumbing leak, jammed door, loose fitting, power issue or pantry repair is telling you something about asset condition, user discomfort, service quality and future risk. The mistake many businesses make is treating each request as isolated. Close it, move on, repeat. That is how small complaints become patterns.

The research paper 'Analysis of building maintenance requests using a text mining approach: building services evaluation' by Rafaela Bortolini and Núria Forcada studied 6,830 maintenance requests from 46 buildings, including offices, academic buildings and laboratories, over two and a half years. The paper explains that maintenance-request data from computerised maintenance management systems can be a rich source of information for evaluating occupant satisfaction and building systems, but unstandardised data makes analytics difficult. It also found that common requests were related to electrical and HVAC fixtures.

For corporate companies, this is directly relevant. Your employees, guests, tenants and visitors do not experience a facility through your maintenance plan. They experience it through moments of failure. The meeting room is too warm. The washroom fitting is broken. The light does not work. The access door sticks. The pantry equipment fails during peak usage. Each issue may seem small, but repeated issues reduce trust in the workplace.

The research teaches that maintenance data should not be buried in complaint logs. It should be mined for patterns. Which assets fail repeatedly? Which zones generate more requests? Which request types dominate? Which issues take longer to close? Which service categories create the most occupant disruption? Without this analysis, the facility team remains reactive.

Maanicare applies this thinking by treating on-demand and response services as part of a larger operating intelligence system. A one-time repair is useful, but a pattern is more valuable. When service requests are captured clearly, classified correctly and reviewed periodically, they reveal where preventive action is needed. This helps businesses move from 'fix what broke' to 'reduce what keeps breaking'.

For your business, implementation begins with request discipline. Every maintenance request should record the location, issue type, asset involved, urgency, response time, closure time, root cause, material used and whether the issue repeated. Over time, this data helps build smarter preventive maintenance, better vendor planning, sharper budgets and stronger asset-replacement decisions.

Maanicare helps corporate clients because we understand both urgent response and long-term facility management. On-demand support should not be random. It should be traceable, professional and connected to larger facility insight. A technician should not only repair the issue; the system should remember what happened, where it happened and whether it is likely to happen again.

The fear is simple: if you do not study your maintenance requests, your building will keep sending the same message until failure becomes downtime. A recurring AC complaint can become equipment breakdown. A repeated electrical issue can become safety risk. A plumbing leak can become property damage. A delayed repair can become employee frustration or tenant escalation.

For employees, guests and tenants, better maintenance request management means faster relief and fewer repeat irritations. For leadership, it means visibility into building health. For admin and facility teams, it means fewer surprises and more control over service priorities.

On-demand maintenance is not only about speed. Speed without learning only fixes today's complaint. Speed with data improves tomorrow's building. That is the difference Maanicare brings to corporate response services.

A practical request-management system should standardise how issues are described. Instead of vague entries such as 'AC issue' or 'light problem', the system should capture location, asset, symptom, priority, assigned person, closure action and recurrence. This allows trend analysis. If five similar requests come from one floor, the issue may be design, equipment capacity, usage pattern or preventive maintenance failure - not five separate complaints.

Maanicare helps by connecting response speed with issue intelligence. Our on-demand teams can attend urgent work, but our larger value is in helping businesses see whether the same issue is repeating. This is critical for corporate offices, guest houses, institutions and commercial properties where small failures quickly affect comfort and reputation. A good response service fixes the issue; a better response partner helps reduce future issues.

This approach also helps budgeting. If the same asset category repeatedly generates requests, leadership can decide whether to increase preventive maintenance, replace components, change usage patterns or plan capital expenditure. Without data, repair spending feels random. With request intelligence, maintenance becomes a decision-support tool. Maanicare helps convert everyday service calls into practical insight for admin, facility and finance teams.

CTA: Stop treating maintenance requests as noise. Turn them into operating intelligence. Speak to Maanicare for on-demand repair, response support and facility services that help your building learn. Visit https://maanicare.com/contact-us.

Key learnings for corporate teams

• Maintenance requests are data signals, not just isolated tasks.

• Research analysed 6,830 requests across 46 buildings over two and a half years.

• Electrical and HVAC-related issues commonly appear in building maintenance request data.

• Maanicare helps classify, track and review requests to reduce recurring failures.

• Fast repair matters; learning from repair history matters more.

Citation

Article/paper title: Analysis of building maintenance requests using a text mining approach: building services evaluation

Written by: Rafaela Bortolini and Núria Forcada

URL: https://doi.org/10.1080/09613218.2019.1609291

Maanicare CTA: To discuss IFM, projects, staffing, payroll, compliance or response services for your business, contact Maanicare at https://maanicare.com/contact-us