TRANSFORMING COMPLIANCE METRICS: TRANSITIONING FROM PROCESS ASSESSMENT TO PERFORMANCE AND DATA QUALITY ASSESSMENT

Irina Petruchenya

UDC

338.242 339.1

VAK Russia

5.2.3

TRANSFORMING COMPLIANCE METRICS: TRANSITIONING FROM PROCESS ASSESSMENT TO PERFORMANCE AND DATA QUALITY ASSESSMENT

Published in Trade, service, food industry · Pages 100–121 · Rubric: Marketing and management

EDN: WOTMBN

Received: 02.03.2026 Accepted: 12.03.2026 Published: 02.04.2026

Authors

Irina Petruchenya

Academic degree: candidate of economic sciences

Science rang: docent author.academy_titles.32

Siberian Federal University docent · Kafedra "Ekonomicheskaya i finansovaya bezopasnost'"

Sibirskiy Federal'nyy Universitet docent · Kafedra Ekonomicheskaya i finansovaya bezopasnost' · Russian Federation

ABSTRACT

As the financial sector transitions to the T+1 settlement standard by 2026 and regulators implement the concept of evidence-based oversight, traditional compliance control systems focused on formal process assessment are losing their effectiveness. The speed of transaction cycles necessitates a transformation of metrics toward productiveness and real-time monitoring. The aim of this article is to develop a conceptual model for the transformation of compliance metrics, ensuring the integration of assessment and data quality into a unified management framework. The research in this paper is based on a comprehensive interdisciplinary approach, combining general scientific methods of deduction, induction, and abstraction with the tools of functional modeling and management design. The applied nature of the work necessitated the use of a group of specialized methods structured by research stages, including content analysis of regulatory acts and a tabular systematization method. The empirical base utilized international standards (ISO 37301:2021), regulatory reports (Bank of Russia, SEC), and analytics from leading consulting groups. As a result, a hierarchical model was proposed, the key element of which is a matrix of the sensitivity of key performance indicators (KEIs) to data quality (DQ) parameters. Unlike existing approaches, the model formalizes the causal relationship between data integrity and the reliability of compliance results. For practical implementation, a practical implementation toolkit was proposed in the form of a "Roadmap," which includes a responsibility assignment algorithm (RACI) and methods for overcoming typical organizational barriers.The proposed toolkit provides a methodological foundation for the implementation of intelligent compliance control systems, which helps minimize regulatory risks and ensures a high degree of automation of procedures. This allows organizations to move from reactively recording violations to proactively designing the resilience of their compliance systems.

KEYWORDS

compliance metrics, model, sensitivity matrix, data quality, performance indicators, roadmap

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GOST

Petruchenya I. V. TRANSFORMING COMPLIANCE METRICS: TRANSITIONING FROM PROCESS ASSESSMENT TO PERFORMANCE AND DATA QUALITY ASSESSMENT // Trade, service, food industry. 2026. no. 1. pp. 100-121. EDN: WOTMBN. (Date of access 07.09.2026).

MLA

Irina Petruchenya. "TRANSFORMING COMPLIANCE METRICS: TRANSITIONING FROM PROCESS ASSESSMENT TO PERFORMANCE AND DATA QUALITY ASSESSMENT." Trade, service, food industry 6.1 (2026): 100-121. EDN: WOTMBN.

APA

Petruchenya I. V. (2026). TRANSFORMING COMPLIANCE METRICS: TRANSITIONING FROM PROCESS ASSESSMENT TO PERFORMANCE AND DATA QUALITY ASSESSMENT. Trade, service, food industry, 6(1), 100-121. EDN: WOTMBN.

Chicago

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{{cite journal | author = Petruchenya I. V. | title = TRANSFORMING COMPLIANCE METRICS: TRANSITIONING FROM PROCESS ASSESSMENT TO PERFORMANCE AND DATA QUALITY ASSESSMENT | journal = Trade, service, food industry | year = 2026 | volume = 6 | issue = 1 | pages = 100-121 }} EDN: WOTMBN

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