Workplace safety is one of the best things that a company can boast of. Taking care of its employees and making sure that their places of work are safe and hazard-free marks it as a company that people want to work for and that people can trust to build their project without any undue concern.
Construction companies should always be on the lookout for safety in the workplace. The company owner should understand that an unsafe and injury-prone work environment could lead to lost man hours, higher cost of employee hospitalization and absences, an increase in Workers' Compensation premiums and delays in construction projects.
Some construction firms are still not able to prevent injury cases despite the implementation of predictive analytics for accident and hazard prevention. Some companies simply do not use these preventive techniques effectively. Here are three reasons why construction companies fail when trying to predict injuries:
Reason 1: Using the wrong tool
Sure, logging accident reports on simple software such as Microsoft Excel can be helpful to keep track of past incidents. However, if you want to prevent similar hazards from happening in the future, you must utilize applications designed for predictive analytics.
At times, you will notice that the same hazard is being encountered over and over again. With predictive analytics and suitable software, you should be able to remove this hazard altogether.
Reason 2: Failing to collect enough data
Safety data may be gathered through on-site inspection, process audits, root cause analysis, and inventory of aspects contributory to accidents at the workplace. If you plan to use predictive analytics software, the amount of data that you collect must be comprehensive enough for the machine to understand and assess possible scenarios. Unfortunately, data gathering that is considered sufficient for the predictive machine’s algorithm could take years. In short, this is probably the most common reason why predictive analytics tools are not maximized by construction industries.
Reason 3: Not trusting equipment
Many construction firm owners started as small home-based businesses, and data processing was done manually. If you are interested in using predictive analytics to avoid injuries at work, you need to put your trust in the predictive machine that you will use. Gone are the days when you rely solely on your own assessment and problem-solving capabilities. You must understand that computer algorithms are much more comprehensive than what an average human person can process and they are consistent.
Predictive analytics can be a construction firm's best friend. They are useful and can help you prevent injuries if used correctly and consistently. For more info on our construction estimating software and how to better your business, learn more today!