A Process Pattern Model for Tackling and Improving Big Data Quality

A Process Pattern Model for Tackling and Improving Big Data Quality

Wahyudi, A. (TU Delft Information and Communication Technology)
Kuk, George (Nottingham Trent University)
Janssen, M.F.W.H.A. (TU Delft Information and Communication Technology)

2018

Data seldom create value by themselves. They need to be linked and combined from multiple sources, which can often come with variable data quality. The task of improving data quality is a recurring challenge. In this paper, we use a case study of a large telecom company to develop a generic process pattern model for improving data quality. The process pattern model is defined as a proven series of activities, aimed at improving the data quality given a certain context, a particular objective, and a specific set of initial conditions. Four different patterns are derived to deal with the variations in data quality of datasets. Instead of having to find the way to improve the quality of big data for each situation, the process model provides data users with generic patterns, which can be used as a reference model to improve big data quality.

Big data
Data processing
Data quality
Information quality
Process patterns
Reference model telecom

http://resolver.tudelft.nl/uuid:a410d5ed-8bef-41e8-8140-130ded9cb8ee

https://doi.org/10.1007/s10796-017-9822-7

1387-3326

Information Systems Frontiers: a journal of research and innovation, 1-13

Institutional Repository

journal article

© 2018 A. Wahyudi, George Kuk, M.F.W.H.A. Janssen