Methods and Applications of Data Mining in Business Domains

Amrit, Chintan; Abdi, Asad

doi:10.3390/app131910774

Applied Sciences

2023

DOI: 10.3390/app131910774

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Methods and Applications of Data Mining in Business Domains

Chintan Amrit,

Asad Abdi

Abstract: This Special Issue invited researchers to contribute original research in the field of data mining, particularly in its application to diverse domains, like healthcare, software development, logistics, and human resources [...]

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2024

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Classification of Analytical Optimization Methodsbusiness Processes of Enterprises

Kovbatiuk,

Strilok

2024

Econ. upravlin.

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Rapid progress and digital technologies are increasingly being implemented in all aspects of companies' economic activities. This challenges their managers to invest in technology upgrades and the transition to digital platforms to maintain competitiveness and efficiency in the market, which, in turn, requires them to master new methods of optimizing business processes. To facilitate orientation in the large number of methods that exist today, there are various approaches to their classification.The article analyses the existing classifications of business process optimization methods, and, in particular, the classification, depending on the approach to justifying their improvement, as one of many approaches to classification.The study is aimed at systematizing the analytical methods of business process optimization, given their critical importance in today's dynamic businessenvironment. Analytical methods provide an opportunity to analyse, improve and manage business processes in detail, helping to identify problems and reduce costs. The set of analytical methods used to optimize business processes is classified into nine types according to their main functions and purpose, each of which has its own unique advantages and is used to solve specific problems. Expanding and updating analytical methods ensures flexibility and adaptability of companies, allowing them to respond to market changes and implement innovations. This not only helps to solve current problems, but also ensures the long-term development and sustainability of the business. By applying various methods from the presented classification, business process management specialists can achieve a deeper understanding of their activities, identify hidden reserves and implement effective strategies to optimize and improve their business. Thus, a systematic and comprehensive approach to the analysis and optimization of business processes is a prerequisite for success in today's competitive environment.

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Classification of Analytical Optimization Methodsbusiness Processes of Enterprises

Kovbatiuk,

Strilok

2024

Econ. upravlin.

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Methods and Applications of Data Mining in Business Domains

Abstract: This Special Issue invited researchers to contribute original research in the field of data mining, particularly in its application to diverse domains, like healthcare, software development, logistics, and human resources [...]

Cited by 1 publication

References 26 publications

Classification of Analytical Optimization Methodsbusiness Processes of Enterprises

Classification of Analytical Optimization Methodsbusiness Processes of Enterprises

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