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  • Optimization of Business-processes for Information Support of Scientific and Analytical Research on the Basis of Archival Data of FEA Using Modern Information Platform Solutions

Optimization of Business-processes for Information Support of Scientific and Analytical Research on the Basis of Archival Data of FEA Using Modern Information Platform Solutions

Student: Zheleznikov Evgeny

Supervisor: Svetlana Y. Lyapina

Faculty: Graduate School of Business

Educational Programme: Business Administration (Bachelor)

Year of Graduation: 2021

In the face of increasing competition and changing consumer demand paradigms, organizations are constantly striving to optimize their core processes to increase production efficiency, labor productivity, reduce production and non-production costs, or follow new social trends. Ultimately, companies want to reach a new level of financial performance, ahead of their competitors. Optimizing business processes is a vital aspect of developing or maintaining the viability of a company. Whether it is a startup or a sustainable company, any organization performs many consecutive repetitive interrelated actions – business processes aimed at achieving the result. The main criterion for the success of an organization's business processes is its effectiveness. Efficiency as a criterion has rather abstract boundaries. Each organization independently determines the criteria for recognizing the process as effective. However, due to the variability of the organization's external environment, any process always remains imperfect and requires a new iteration of optimization.

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