@inproceedings{f5f492ac3d8447cbabea373053288bd9,
title = "Towards process patterns for processing data having various qualities",
abstract = "Organizations become more data-intensive and companies try to reap the benefits from this. Although there is a large amount of data available, this data has often different qualities which hinders use. Creating value from big data requires dealing with the variations in quality. Depending on their quality, data need to be processed in various ways to prepare this data for use. Although the processes vary, dealing with certain levels of data quality is a recurring challenge for many organizations. By developing generic process patterns organizations can reuse each other solutions. In this paper, process patterns for dealing with various levels of data quality are derived based on a case study of a large telecom company that employs all kinds of data to create operational value. The process patterns can possibly be used by other organizations.",
keywords = "Big data, Data processing, Data quality, Process patterns, Telecom",
author = "Agung Wahyudi and Marijn Janssen",
year = "2016",
doi = "10.1007/978-3-319-45234-0_44",
language = "English",
isbn = "9783319452333",
volume = "9844",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer",
pages = "493--504",
booktitle = "Proceedings of the 15th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2016",
note = "15th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2016 : Social Media: The Good, the Bad, and the Ugly ; Conference date: 13-09-2016 Through 15-09-2016",
}