DESIGN OF MONITORING SYSTEMS AND ALGORITHMS TO MITIGATE DATA DISTORTION RISKS FOR ENSURING VALIDITY OF ENTERPRISE PERFORMANCE EVALUATION

The study investigates the challenges associated with designing a process for monitoring data distortion risks to ensure validity of enterprise performance evaluation based on models and algorithms. The research aim is to emphasize the importance of developing an automated approach to designing a monitoring process and algorithms for carrying out effective control of data validity, detecting errors, and making necessary decisions for their elimination. The study employs such methods as analysing existing models and algorithms, developing new ones, and empirical testing on real-world data. The findings are applicable across various sectors of modern enterprise activities where electronic document circulation is crucial, including finance, manufacturing, food services, etc.