Are you familiar with the kids’ activity connect the dots? It’s a paper-and-pen game in which you draw lines in a sequential order until a hidden image appears. Route a course between dots one and two, then two to three, and so on. Eventually you have a tree or a house or a World War I biplane. Connect the dots shows us that when we link the information at hand, we see more than we can when it’s isolated.
In a similar way, associated data allows us to “connect the dots” of our safety information, so we get a clearer picture of the safety activities, performance, and leading indicators hidden in the numbers. When we draw connections between different data points and overlay them with other information, new meaning arises, meaning that helps us see the bigger picture, make better decisions, target resources to the areas that actually need it, and protect people, equipment, and the business from harm.
As straight forward as these seems, it is one of the methods most often overlooked by people managing disparate sets of organizational data. For example, one of the common issues we find working with clients is that many of them don’t associate incident data with other information sources that might help predict future incidents. Hours worked and/or overtime hours may play a role in incidents, but if there is no way to access data on hours worked and link it to incidents, you cannot statistically establish the relationship. Similarly, while it’s unlikely that maintenance and audit history will be related to spills and releases, if you cannot link those datasets, you can’t gain insight into the role maintenance plays in reducing releases.
Please join us on September 1, 2016, for a discussion on The Power of Associated Data. In this complimentary webinar, we examine the key elements in the association of different data points and illustrate how overlaying these data points can provide meaningful information for decision making that has a powerful impact on your company’s safety results. We also cover:
Register for the webinar and learn to leverage the power of associated data!