| Abstrakt: |
In this data-driven world, data capability and analytics capability are two very important core competencies that should be considered equivalent to others such as people management, resource allocation, asset management, and so on. Processes for evaluating data quality and using data in context can improve business outcomes. After ensuring incoming data are of good quality, it is important to have structured approaches for analytics execution and metrics to measure the quality of analytics. Unfortunately, there are few methods proposed for this purpose. In this article, the author presents a DMAICbased approach for analytics execution and robust quality index (RQI) to measure quality of analytics. [ABSTRACT FROM AUTHOR] |
