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Integrated data quality management within the organization

https://doi.org/10.55648/10.55648/1998-6920-2025-19-4-28-47

Abstract

The relevance of integrated data quality management tasks is increasing in the context
of growing volume, variety, and criticality of data used. Despite this, organizations still have
significant gaps in understanding the interconnections between data quality, process quality, and
information systems. The purpose of this study is a systematic analysis of existing
methodologies and concepts for data quality management, as well as the identification of key
challenges in their practical implementation. The paper presents a review of scientific literature,
outlines standard elements and a framework for an integrated approach to data quality. A high-
level data flow scheme based on the Data Lakehouse architecture has been developed, reflecting
the interaction of system components. The necessity of developing new methods and algorithms
for optimizing big data quality, which go beyond traditional paradigms focused on structured
data, is substantiated. Key problems often ignored in practice are identified and systematized,
and criteria for the successful implementation of an integrated data quality management
approach are formed.

About the Authors

Oksana Igorevna Zakharova
Povolzhskiy State University of Telecommunications and Information Science (PSUTI)
Russian Federation

PhD. (Engineering), Associate Professor; Department of Information Systems and Technologies,
Povolzhskiy State University of Telecommunications and Information Science 



Vlad Sergeevich Korobeynikov
Povolzhskiy State University of Telecommunications and Information Science (PSUTI)
Russian Federation

PhD student, Povolzhskiy State University of Telecommunications and Information Science



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For citations:


Zakharova O.I., Korobeynikov V.S. Integrated data quality management within the organization. The Herald of the Siberian State University of Telecommunications and Information Science. 2025;19(4):28-47. (In Russ.) https://doi.org/10.55648/10.55648/1998-6920-2025-19-4-28-47

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ISSN 1998-6920 (Print)