Small and medium-sized businesses are the foundation of employment in America, accounting for roughly 65 percent of all new jobs established since 1995, and half of all positions currently held in the country, or 120 million people, according to Forbes.
Industrial Hygiene (IH) is one of the least mentioned yet one of the most valuable Occupational Health and Safety sciences that organizations can practice to protect workers’ health.
However, the business value of IH Programs can only be truly perceived and communicated to business leaders when effective data management of health hazard exposure and occupational disease risk is performed.
Demonstrating the business value of IH programs to the C-Suite requires Industrial Hygienists or EHS professionals to understand the IH Hazards associated with organizational processes, how they are impacting – or can impact – business objectives, and how they affect the bottom line.
We all want it. We all say we need it. And we all think we have it. But what is “actionable data”?
For most in the risk management community, “actionable data” is what we get from analyzing the claims data received from the claims system of our carrier or administrator. The data is often used for underwriting and pricing rather than learning and trending.
Accidents resulting in injuries have become all too common in the automotive industry. With the rise in popularity of machinery and automation, it's time to take a step back and look at how leveraging it all can create a safer workplace.
Emotion no longer drives decision-making - big data does. Analytics have become inescapable in the modern workplace. According to IBM, 2.5 quintillion bytes of data are created each day.
There's now a number attached to nearly everything - from operational efficiency down to how an employee dresses for his job. Businesses that foster a culture of statistical analysis are 2.2 times more likely to outperform their competitors, IBM reported. Is your company ready to take the next step?
Recently, I came across an article which mentions BIG DATA 1.0 was all about storing volumes of independent silos of data to provide competitive advantage to business. Organizations would toy with Data Mining architecture to generate meaningful content. There is much hype and hoopla surrounding the analysis of independent silos of data, but is it worth the effort? The deluge of data is difficult to store, capture and visualize. A proliferation of diverse datasets- from historical data to recordable data and from safety records to sustainability data is even difficult to manage.