Innovative analytical and statistical technology as a corruption counteraction tool: conceptual analysis

Abstract

The article is devoted to conceptual analysis of the problem of innovative analytical and statistical technologies implementations as a corruption prevention tool. This study defines corruption as the unlawful use of administrative resources for personal or group benefits, violating both formal and informal norms. It is stated that “corruption counteraction” means actions to prevent, combat, and mitigate corruption in society. The paper introduces several approaches for analytical and statistical technologies classification with grouping such technologies into high, middle and low technologies. Hi-tech is applied to the most advanced technologies based on scientific and technical progress and associated with automated technology. Automated analytical and statistical technologies are innovative in utilizing machine learning, deep learning, neural networks, NLP, network analysis, and real-time data analysis. The use of such technologies, which autonomously perform tasks previously reserved for humans, has shown potential for more effective corruption counteraction. So, “innovative analytical and statistical technology” is defined as a modern collection of methods and tools for data analysis, designed to identify complex dependencies and useful patterns in data, improving decision-making, and detecting anomalies.