As happens with most of us, you will often be advised to get regular health check-ups. Even your car/bike go through service & maintenance checks from time-to-time. In this process anything unusual or any wear & tear can be detected & taken care of before letting it lead to any adversities. See what happens is, the identified wear & tear is the data & based on this data we can initiate & implement preventive measures. It is basically helping to reduce the intensity or completely eliminate it of the possible unfavourable situation.
If we were to mirror this concept in an organization, the results could be unimaginably beneficial. Predictive analysis and workplace safety make a great association. Predictive analysis can help workers feel safe & can help a great deal in making a workplace safer.
So let us take a closer look & understand what predictive analysis really is & how it contributes towards workplace safety.
What is Predictive Analytics?
Predictive analytics, in a nutshell, is predicting future trends based on past data analytics. Once data is gathered from observations, reports & other reliable sources, gaps & probable problem areas are highlighted which gives us the opportunity to predict the outcomes & strategize the preventive actions. An analytics dashboard gives precise information as it receives a comprehensive data for analysis. It offers closest accuracy and is incredibly reliable for organizations from all sectors. It has worked miracles in the medical sector and revolutionized the construction industry which is why it will surely be an incredible addition in the HSE aspect as well.
Incident & Accident Prediction
When predictive technology receives data about previous accidents and incidents in a workplace, it analyses them to acquire the details of “how and why” they happened. It helps organizations understand the root causes and take remedial action immediately. Moreover, it also identifies the trends of occurrences of these incidents or near misses, highlights the gaps & after studying these trends analyses similar situations which helps predict the outcome.
For example, if a high number of slips are reported in a specific area. The technology analyses this data and displays the area name where frequent falls have occurred. Along with that, it also gives out the reasons given by workers on why they slipped there. This helps the safety manager to take preventive measures for these recurring incidents, thus leading to less or no number of injuries.
Not every task is the same. The scaffolding department has unique challenges, and so does the department managing heavy vehicles & equipment. Predictive analytics defines these site-specific challenges resulting in individual safety plans for each. Additionally, predictive analytics is time and cost-effective as it can devise site-specific safety plans.
Everything is “Real”
Predictive analytics sets an excellent premise for safety. Right from churning results from actual data to giving out information in real time. Therefore, not just past findings but also real-time happenings help to constitute the predictions.
For example, there are sensors for overloading cranes. These sensors are linked directly to the system. So every time the crane gets overloaded, the sensors send data to the system and update it. Thus the pattern indicates answers to why, when, how, and whom.
Thus, Paving the Way for a Safe Future
When predictive analytics technology is used, everyone can access immediate and accurate information. This makes managing reports and information much easier, leaving no room for errors. Also, this information helps to design future safety measures based on past and present analysis. The solutions can be created based on the severity and frequency of the occurrences. Basically, predictive analytics makes you and your organization effectively prepared for the future.