Organizations just getting started with layered process audits typically focus on basic metrics like audit completion rate and overdue corrective actions. As they progress along their digital transformation journey, however, they could be getting more value from these specialized audits by asking more complex questions.
Executed correctly, layered process audits (LPAs) take place every shift, generating hundreds of data points daily. Multiply that out over the course of a year, and it’s clear that manufacturers have some pretty robust data sets at their fingertips.
Managing these vast quantities of data can be difficult when relying on spreadsheets and other manual data analytics tools. An automated LPA platform integrated with business intelligence tools like Tableau and Power BI makes it much simpler (even if many analyses still require having an analyst or data scientist on staff).
With that in mind, let’s look at some examples of how manufacturers can leverage deeper insights from the volume of data they collect daily.
