Data Value Assessment in Semiconductor Production: An Empirical Study to Define and Quantify the Value of Data

Abstract

Quality of data and the assessment of data value have become essential requirements to compete in the knowledge economy. In this work, information needs and data requirements of three different user groups from the semiconductor manufacturing area were determined empirically, based on which a new Data Value Assessment (DVA) process could be designed. Three data collection phases were carried out, in which a total of 24 employees of ams-OSRAM International GmbH took part. First, variables that are relevant for the evaluation of data were identified by focus groups. These results made it possible to develop a basic DVA process. In the second step, the process was tested by means of a survey. Based on 14 data objects from a selected case project, an initial DVA was carried out by the user groups of managers, operational employees and the Data Governance Office. The survey also covered questions about the information behavior of the user groups. With the results of the questionnaire, it was possible to improve the DVA process and to identify roles during the data evaluation. The DVA process has been assessed against practical applications based on feedback from key stakeholders and the findings provide a clear roadmap for future directions.