Robust Quality: Powerful Integration of Data Science and Process Engineering (Continuous Improvement Series)

After realizing the importance of data, organizations have begun to view data as a critical asset, being equally important as other assets such as people, capital, raw materials, and facilities. In order to ensure data are fit for the purpose, there is a need to have high quality levels of data. This book will provide an integrated approach by combining data quality and process quality approaches for ensuring robust quality. When the two concepts are combined, industry can achieve rapid improvements with accurate results and decisions. The methodology is combined with data quality, Lean and Six Sigma philosophies. The approach will guarantee improvements and stable operations.