Cost and Value Management for Data Quality. Ge, M. & Helfert, M. In Handbook of Data Quality, pages 75-92. Springer Berlin Heidelberg, 2013.
Cost and Value Management for Data Quality [link]Paper  doi  abstract   bibtex   
The cost and value of data quality have been discussed in numerous articles; however, suitable and rigor cost measures and approaches to estimate the value are rare and indeed difficult to develop. At the same time, as a critical concern to the success of organizations, the cost and value of data quality become important. Numerous business initiatives have been delayed or even cancelled, citing poor-quality data as the main concern. Previous research and practice have indicated that understanding the cost and value of data quality is a critical step to the success of information systems. This chapter provides an overview of cost and value issues related to data quality. This includes data quality cost and value identification, classification, taxonomy, and evaluation framework, as well as analysis model. Furthermore, this chapter provides a guideline for cost and value analysis related to data quality.
@incollection{ge2013cost,
  title = {Cost and {{Value Management}} for {{Data Quality}}},
  copyright = {\textcopyright{}2013 Springer-Verlag Berlin Heidelberg},
  isbn = {978-3-642-36256-9 978-3-642-36257-6},
  abstract = {The cost and value of data quality have been discussed in numerous articles; however, suitable and rigor cost measures and approaches to estimate the value are rare and indeed difficult to develop. At the same time, as a critical concern to the success of organizations, the cost and value of data quality become important. Numerous business initiatives have been delayed or even cancelled, citing poor-quality data as the main concern. Previous research and practice have indicated that understanding the cost and value of data quality is a critical step to the success of information systems. This chapter provides an overview of cost and value issues related to data quality. This includes data quality cost and value identification, classification, taxonomy, and evaluation framework, as well as analysis model. Furthermore, this chapter provides a guideline for cost and value analysis related to data quality.},
  language = {en},
  urldate = {2017-03-20},
  url = {http://link.springer.com/chapter/10.1007/978-3-642-36257-6_4},
  booktitle = {Handbook of {{Data Quality}}},
  publisher = {{Springer Berlin Heidelberg}},
  author = {Ge, Mouzhi and Helfert, Markus},
  editor = {Sadiq, Shazia},
  year = {2013},
  keywords = {Database Management,Information Storage and Retrieval,Management of Computing and Information Systems,Files,Business IT Infrastructure,CS598},
  pages = {75-92},
  file = {/Users/ludaesch/Dropbox/zotero/storage/FT54CMIJ/978-3-642-36257-6_4.html},
  doi = {10.1007/978-3-642-36257-6_4}
}

Downloads: 0