employee
Moskva, Russian Federation
VAK Russia 5.2.3
VAK Russia 5.2.4
VAK Russia 5.2.5
VAK Russia 5.2.6
VAK Russia 5.2.7
UDC 33
This article explores the theoretical understanding of data quality in the context of business analytics, based on an interdisciplinary approach integrating data management, information economics, and systems analysis. Data quality is defined by its suitability for specific business processes through criteria of accuracy, completeness, consistency, currency, reliability, and coherence. Quality issues are analyzed, including technical, organizational, and procedural aspects, and comprehensive measures are proposed, such as the implementation of data management frameworks, the use of machine learning for validation, and corporate cultural transformation, emphasizing the need for synergy between technology, processes, and the human factor to minimize the negative impact on business results.
Data quality, business analytics, data management, DAMA-DMBOK, ISO 8000, machine learning, corporate culture, quality metrics
1. Marsolo K.A., Richesson R.L., Hammill B.G., et al. Assessing Fitness for Use of Real-World Data Sources: Defining Fitness for Use. In: Rethinking Clinical Trials: A Living Textbook of Pragmatic Clinical Trials. Bethesda, MD: NIH Pragmatic Trials Collaboratory.2025. DOI:https://doi.org/10.28929/184.
2. DAMA International. DAMA‑DMBOK: Data Management Body of Knowledge. 2nd ed. - Denville, NJ: Technics Publications, LLC, 2017. - 644 p.
3. Talburt R. Jhon, Zhou Y. ISO Data Quality Standards for Master Data // Entity Information Life Cycle for Big Data: Master Data Management and Information Integration. San Francisco: Morgan Kaufmann Publishers, 2015. Pp. 191–205. DOIhttps://doi.org/10.1016/B978-0-12-800537-8.00011-9.
4. Trofimov V.V., Trofimova L.A. On the Concept of Data-Based Management in the Context of Digital Transformation // Petersburg Economic Journal. 2021. No. 4. pp. 149–155.
5. Kuznetsov S.V., Koznov D.V. Master Data Management within the Iterative Approach // Design Ontology. 2021. No. 2 (40). pp. 170–184.
6. Mikhnenko P.A. Multimodal Business Analytics: Concept and Prospects of Use in Economic Science and Practice // Upravlenets. 2023. No. 6. P. 2-18.
7. Analyzing the Development of Russia's Agricultural Sector to Identify Import Needs and Product Range / M. Tolmachev, A. Tsypin, E. Gerasimova [et al.] // Journal of Global Innovations in Agricultural Science. – 2025. – Vol. 13, No. 3. – P. 955-963. – DOIhttps://doi.org/10.22194/JGIAS/25.1618. – EDN UWLWKH.
8. Tolmachev, M. N. Employment and Unemployment in Agriculture of the North Caucasus Federal District / M. N. Tolmachev, G. I. Gadzhimirzoev, M. M. Shailieva // Bulletin of the Kazan State Agrarian University. – 2023. – Vol. 18, No. 4(72). – P. 163-169. – DOIhttps://doi.org/10.12737/2073-0462-2023-163-169. – EDN DPDLOL.
9. Tsypin, A. P. Retrospective analysis of butter production in the post-Soviet countries / A. P. Tsypin // Dairy industry. – 2025. – No. 4. – P. 74-83. – DOIhttps://doi.org/10.21603/1019-8946-2025-4-48. – EDN SQOHED.
10. Kurilova, A. A. Assessment of financial accessibility of the northern regions of Russia / A. A. Kurilova // Finance: theory and practice. – 2025. – Vol. 29, No. 4. – P. 252-261. – DOIhttps://doi.org/10.26794/2587-5671-2025-29-4-252-261. – EDN UFOCLO.
11. Turgaeva, A. A. Modern approaches to assessing the risks of money laundering and terrorist financing in the context of the development of digital financial assets / A. A. Turgaeva // Finance: Theory and Practice. – 2025. – Vol. 29, No. 4. – Pp. 100-111. – DOIhttps://doi.org/10.26794/2587-5671-2025-29-4-100-111. – EDN LUMGBL.
12. Enhancing Food Security in Central Asia and the Caucasus: A SWOT Analysis of Agro-Industrial Potential / D. Zhilyakov, O. Petrushina, K. Meshcheryakov [et al.] // International Journal of Safety and Security Engineering. – 2025. – Vol. 15, No. 7. – P. 1461-1470. – DOIhttps://doi.org/10.18280/ijsse.150713. – EDN NOGODG.
13. Main threats to human rights and freedoms in the context of digitalization / A. Petrov, A. Mirzagitova, A. Kuraev, E. Kirillova // Juridicas Cuc. – 2023. – Vol. 20, No. 1. – P. 343-357. – DOIhttps://doi.org/10.17981/juridcuc.20.1.2024.16. – EDN HBXOFX.
