DEVELOPING A DYNAMIC DATA ANALYTICS MODEL FOR INCREASING THE EFFICIENCY OF THE PLANNING AND DECISION-MAKING PROCESSES AT KAZAKHSTAN TEMIR ZHOLY

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dc.contributor.authorZhanabayev, Asset
dc.contributor.authorKamidollayeva, Nadira
dc.contributor.authorToremurat, Shynggys
dc.contributor.authorIbrayeva, Zhanar
dc.date.accessioned2021-05-28T09:10:52Z
dc.date.available2021-05-28T09:10:52Z
dc.date.issued2021-05
dc.description.abstractThis study was conducted by Nazarbayev University graduate students in collaboration with National Railway Company – Kazakhstan Temir Zholy. Company generates a huge amount of data that could be processed and analyzed in order to optimize its operations. The aim of this capstone project is to develop dynamically updated data driven decision supporting tool for the company. Another aim is to develop metrics and KPIs based on the provided input data in order to adequately assess company performance. Data provided by company includes 4.6 million rows covering routes, train numbers, stations, departure dates, number of passengers travelling, number of tickets sold, day of the week information. To handle and process such amount of information data analytics approach was used. As part of research literature review was performed covering areas of capacity management, capacity utilization factors, practices to increase efficiency, metrics and KPIs and visualization approaches. Next, methodology was developed that included data gathering, data analysis, creation of dashboard in Power BI, data visualization, cost analysis of carrying one wagon. In results part seven dashboards were developed that deal with location, route, station, wagon class, utilization, excess wagons, and seasonality. Based on the findings of this dashboards the implications for practice were drawn. These include remove excess wagons, examine dashboards to take decisions on consolidating stations or modifying frequencies, investigate opportunity to shape different type of trains based on capacity needs, exploit data from wagon class to improve marketing strategy and pricing policy.en_US
dc.identifier.citation Zhanabayev, A.,  Kamidollayeva, N.,  Toremurat, S. &  Ibrayeva, Z. (2021). Developing a Dynamic Data Analytics Model for Increasing the Efficiency of the Planning and Decision-Making Processes at Kazakhstan Temir Zholy (Unpublished master's thesis). Nazarbayev University, Nur-Sultan, Kazakhstanen_US
dc.identifier.urihttp://nur.nu.edu.kz/handle/123456789/5434
dc.language.isoenen_US
dc.publisherNazarbayev University School of Engineering and Digital Sciencesen_US
dc.rightsAttribution-NonCommercial-ShareAlike 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/us/*
dc.subjectResearch Subject Categories::TECHNOLOGYen_US
dc.subjectType of access: Gated Accessen_US
dc.subjectpassenger transportationen_US
dc.subjectcapacity utilizationen_US
dc.subjectrailways KPIen_US
dc.subjectvisualization dashboarden_US
dc.subjectdecision-support toolen_US
dc.titleDEVELOPING A DYNAMIC DATA ANALYTICS MODEL FOR INCREASING THE EFFICIENCY OF THE PLANNING AND DECISION-MAKING PROCESSES AT KAZAKHSTAN TEMIR ZHOLYen_US
dc.typeCapstone Projecten_US
workflow.import.sourcescience

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02. Master's Thesis