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Improving data quality and data governance using master data management: A review
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 …
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
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 …
support their analytics decisions. Big Data refers to all about data, how it is collected …
Big data quality: A survey
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 …
collected, and stored, it becomes crucial to manage the quality of this data deluge in an …
Big data pre-processing: A quality framework
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 …
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 …
organizations in any sector like energy, banking, retail, hardware, networking, etc all …
Big data quality: A quality dimensions evaluation
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 …
consequences are unpredictable, can lead to complete wrong insights. In Big Data context …
Big data quality assessment model for unstructured data
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 …
tremendous volume of generated and processed Data from diverse application domains …
An hybrid approach to quality evaluation across big data value chain
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 …
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 …
in the long term, process-driven data quality management (PDDQM) seeks to redesign …
Big data pre-processing: closing the data quality enforcement loop
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 …
organization. Efforts were geared towards extracting highly valuable insights that cannot …