Quality Data and Managing It

by Katheryn T
The article I chose to write about was called “Managing Data Source Quality for Data Warehouse in Manufacturing Services”. This article spoke about the standard and quality management system that needs to take place in order to comply with the International Organization for Standardization (ISO).  First there has to be a quality management system for the data source. This is a process in which a model is put in place that has “several steps to ensure optimal data quality and is enriched with data quality management steps in order to fulfill customer requirements”(Idris & Ahmad, 2011).  Human resources, technical infrastructure, and work environment are needed to process and make sure the DQM is done correctly. The attributes of high quality data are described as accurate  reliable, important, consistent, precise, understandable, and useful. One of the problems with data quality can come from a lack of understanding of the origin of the data. When people manage the data, they need to be able to identify it correctly and need to be able to understand what kind of data it is and how to work with it. Data source quality can be improved by working with the data owner, determining the cause of the data quality, and correct the data source. read more...

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