Modeling the processing of a large amount of data

Balakayeva, Gulnar; Darkenbayev, Dauren

doi:10.26577/jmmcs-2018-1-490

Cited by 2 publications

(2 citation statements)

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“…Difficulties may arise in the processing of such data. The work of Balakaeva and Darkenbaev [14] investigates the problem of processing large amounts of data and proposes a method for modelling the process of processing such data. As part of their work, the task of optimizing the processing process was set, which can be relevant for many areas, including call centers.…”

Section: Literature Reviewmentioning

confidence: 99%

Determination of the Optimal Controllable Key Indicator of Call Center in Order to Increase Efficiency for Generating Income

Amirgaliyev,

Abdirakhmanova,

Baishemirov

et al. 2023

sjaitu

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This paper focuses on call centers, which have become a common means of communication with potential customers in various companies. Specifically, this paper analyzes call center data and the importance of assessing key indicators for evaluating call center performance. The questions this paper addresses are the criteria for evaluating call center quality and the methods for analyzing call center data. Previous research has shown the significance of call centers as the "face of the company," with the quality of their work reflecting how efficiently a company will serve its customers ' requests in the future. The main goal of this paper is to fill a gap in previous research by identifying the main controlled key indicator for call center quality and to suggest ways to improve efficiency. By using analytical methods to examine call center data, this paper identifies the most important criteria for call center quality and provides recommendations for enhancing service quality. The main findings of this paper show the importance of call center operator performance in determining call center performance which affects company revenue. By evaluating key indicators such as the number of operators, this paper demonstrates how call centers can reduce service costs and improve efficiency. During the analysis using call center data for two years, it turned out that the company had expenses 1/3 of the total amount of maintenance compared to the previous year, which is not effective in terms of economy. Operational planning has a direct impact on operators’ costs and the main cost component is the hourly cost of operators. If optimal planning turns out to be at least 10% better than the arrangement set in the call center, company will save a good amount. The significance of this paper lies in its potential to improve the quality of service in call centers and its contribution to the field of customer service management. By providing insight into the importance of call center efficiency, this research offers recommendations for predicting the optimal number of operators to improve the customer experience with reducing service costs.

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Section: Literature Reviewmentioning

confidence: 99%

Determination of the Optimal Controllable Key Indicator of Call Center in Order to Increase Efficiency for Generating Income

Amirgaliyev,

Abdirakhmanova,

Baishemirov

et al. 2023

sjaitu

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“…Білім беру саласында оқыту мен оқу процесін жақсарту үшін үлкен көлемді деректерді талдау енгізіле бастаған және онымен негізінен білім алушылар айналыса бастады [8]. екіншіден, тез өңдеуге түсіп жататын өте үлкен көлемді деректермен жұмыс істей білу, және де деректердің тек көптігі ғана айтылып қоймайды, олар үнемі көбейіп те отырады; -үшіншіден, олар әртүрлі аспектілерде параллель құрылымдалған және нашар құрылымдалған деректермен жұмыс істей білуі керек [10].…”

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About Software Environments Using Big Data in the Learning Process

Serik

Нурбекова

Ахметова

2021

jour

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The article discusses several types of programs for teaching big data and analyzes data on the implementation of big data in some educational institutions. For the introduction and implementation of special courses in the educational process in the areas of magistracy in the educational program Computer Science, the curriculum, educational and methodological complex, digital educational resources are considered. As well as hardware and software that collects, stores, sorts big data, and the introduction into the educational process of theoretical foundations and methods of using the developed technical and technological equipment. This article reflects information on the conduct of a special course on the use of big data in the educational, educational process of senior students and undergraduates of the specialty "Informatics", the Faculty of Information Technologies, LN Gumilyov Eurasian National University. The first module of the course examines the ERA 500 network controller as an example of a turnstile network controller.

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Modeling the processing of a large amount of data

Cited by 2 publications

References 0 publications

Determination of the Optimal Controllable Key Indicator of Call Center in Order to Increase Efficiency for Generating Income

Determination of the Optimal Controllable Key Indicator of Call Center in Order to Increase Efficiency for Generating Income

About Software Environments Using Big Data in the Learning Process

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