DATA SCIENCE FOR TESTING, INSPECTION AND CERTIFICATION

Abstract

Decisions in conformity assessment, especially in the testing, inspection and certification (TIC) sector are predominantly based on the measurement data. The digital transformation has started to impact the TIC sector. The quality of the data in big data analytics, is not always sufficiently addressed, especially in sectors with traditionally empirical approaches, as TIC. This contribution conducts a survey of possibilities for application of data science in the TIC decision making processes, based on conclusions with complementary usage of experimental “measurements” and the “data science”, with a case study in estimation of the instruments recalibration interval with data fusion approach.