DATA VALIDITY:

The Industrial Internet of Things (IIoT) Revolution delivers data insights that allow real time employee decisions at the point of performance. The EH&S challenges to making this a reality are conceptual confusion regarding the definition of key terms, lack of quality standards and inadequate statistical analysis.

Some organizations use the term leading indicators, while others utilize terms such as upstream, positive, or predictive to describe essentially the same concept. Are near misses a leading or lagging indicator? There is wide definitional variability which is a measurement killer. This contributes to barriers in implementing standardized best practices and conducting industry benchmarking.

Thus, when examining corporate or site EH&S dashboards, it is extremely difficult to determine whether the site is Safe or Lucky. Has the data been penciled whipped? Without qualitative measures and rigorous statistical analysis, it is difficult to know.

If your data is bad, it is impossible to leverage your big data or machine learning tools.