Improving data quality and data governance using master data management: A review

S Hikmawati, PI Santosa, I Hidayah - IJITEE (International Journal …, 2021 - journal.ugm.ac.id
Master data management (MDM) is a method of maintaining, integrating, and harmonizing
master data to ensure consistent system information. The primary function of MDM is to …

Big data quality framework: a holistic approach to continuous quality management

I Taleb, MA Serhani, C Bouhaddioui, R Dssouli - Journal of Big Data, 2021 - Springer
Big Data is an essential research area for governments, institutions, and private agencies to
support their analytics decisions. Big Data refers to all about data, how it is collected …

Big data quality: A survey

I Taleb, MA Serhani, R Dssouli - 2018 IEEE International …, 2018 - ieeexplore.ieee.org
With the advances in communication technologies and the high amount of data generated,
collected, and stored, it becomes crucial to manage the quality of this data deluge in an …

Big data pre-processing: A quality framework

I Taleb, R Dssouli, MA Serhani - 2015 IEEE international …, 2015 - ieeexplore.ieee.org
With the abundance of raw data generated from various sources, Big Data has become a
preeminent approach in acquiring, processing, and analyzing large amounts of …

Big data quality framework: Pre-processing data in weather monitoring application

A Juneja, NN Das - … on Machine Learning, Big Data, Cloud and …, 2019 - ieeexplore.ieee.org
Big Data has become an imminent part of all industries and business sectors today. All
organizations in any sector like energy, banking, retail, hardware, networking, etc all …

Big data quality: A quality dimensions evaluation

I Taleb, HT El Kassabi, MA Serhani… - 2016 Intl IEEE …, 2016 - ieeexplore.ieee.org
Data is the most valuable asset companies are proud of. When its quality degrades, the
consequences are unpredictable, can lead to complete wrong insights. In Big Data context …

Big data quality assessment model for unstructured data

I Taleb, MA Serhani, R Dssouli - 2018 International Conference …, 2018 - ieeexplore.ieee.org
Big Data has gained an enormous momentum the past few years because of the
tremendous volume of generated and processed Data from diverse application domains …

An hybrid approach to quality evaluation across big data value chain

MA Serhani, HT El Kassabi, I Taleb… - 2016 IEEE International …, 2016 - ieeexplore.ieee.org
While the potential benefits of Big Data adoption are significant, and some initial successes
have already been realized, there remain many research and technical challenges that must …

Process-driven data quality management: A critical review on the application of process modeling languages

P Glowalla, A Sunyaev - Journal of Data and Information Quality (JDIQ), 2014 - dl.acm.org
Data quality is critical to organizational success. In order to improve and sustain data quality
in the long term, process-driven data quality management (PDDQM) seeks to redesign …

Big data pre-processing: closing the data quality enforcement loop

I Taleb, MA Serhani - 2017 IEEE International Congress on Big …, 2017 - ieeexplore.ieee.org
In the Big Data Era, data is the core for any governmental, institutional, and private
organization. Efforts were geared towards extracting highly valuable insights that cannot …