kaz29Вестник Казахстанско-Британского технического университетаHerald of the Kazakh-British Technical University1998-66882959-8109Казахстанско-Британский Технический Университет10.55452/1998-6688-2024-21-4-299-316kaz29-1560Research ArticleЭКОНОМИКА И БИЗНЕСECONOMY AND BUSINESSУСПЕШНОЕ УПРАВЛЕНИЕ ДАННЫМИ: КЕЙС АВИАКОМПАНИИ В КАЗАХСТАНЕSUCCESSFUL DATA MANAGEMENT: A CASE STUDY OF AIRLINE COMPANY IN KAZAKHSTANhttps://orcid.org/0009-0007-4938-8578КимП.KimP.

старший менеджер по управлению данными и аналитикой

г. Алматы

Senior Manager Data and Analytics

Almaty

pavel.kim@airastana.comАО «Эйр Астана»КазахстанAir Astana JSCKazakhstan202425122024214299316Copyright © Ким П., 20242024Ким П.Kim P.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://vestnik.kbtu.edu.kz/jour/article/view/1560

В данном исследовании всесторонне рассматривается стратегическое использование облачных сервисов авиакомпанией в Казахстане (далее – Авиакомпания) для оптимизации процессов генерации отчетов, снятия нагрузки с ее ERP (системы управления предприятием) и повышения общей эффективности управления данными. С ростом объемов и сложности данных, генерируемых в рамках современных бизнес-операций, необходимость в масштабируемых и эффективных решениях для управления данными стала особенно актуальной. Через интервью с ключевыми заинтересованными сторонами, анализ показателей производительности системы и наблюдение за процессами внедрения было достигнуто глубокое понимание сложностей и стратегий, связанных с интеграцией облачных решений. Результаты подчеркивают ключевую роль облачных технологий в улучшении практик управления данными, обеспечении надежных процессов генерации отчетов и облегчении плавного масштабирования для удовлетворения развивающихся бизнес-потребностей. Исследование демонстрирует значительное сокращение времени на создание отчетов (улучшение на 95%) и подчеркивает вызовы и стратегии их преодоления в ходе процесса миграции. Этот кейс предлагает ценную информацию для организаций, стремящихся улучшить свои возможности управления данными и использовать облачные технологии для получения стратегических преимуществ, демонстрируя преобразующий потенциал облачных решений в оптимизации операций, стимулировании инноваций и содействии устойчивому росту в современных динамичных бизнес-условиях.

The strategic utilization of Cloud Services by Airline company in Kazakhstan (hereinafter Airline company) to optimize report generation processes, alleviate strain on its ERP (Enterprise Resource Planning) system, and enhance overall data management efficiency is examined comprehensively in this study. With the increasing volume and complexity of data generated in modern business operations, the need for scalable and efficient data management solutions has become paramount. Through interviews with key stakeholders, analysis of system performance metrics, and observation of implementation processes, a thorough understanding of the challenges and strategies associated with cloud integration is attained. The findings underscore the pivotal role of Cloud Solutions in improving data management practices, ensuring reliable report generation processes, and facilitating seamless scalability to meet evolving business needs. The study demonstrates a significant reduction in report generation times (95% improvement) and highlights the challenges and mitigation strategies during the migration process. This case study offers valuable insights for organizations seeking to enhance their data management capabilities and leverage cloud technology for strategic advantage, showcasing the transformative potential of cloud-based solutions in optimizing operations, fostering innovation, and driving sustainable growth in today’s dynamic business landscape.

управление даннымиAzure Synapse Analyticsоблачная аналитикаPower BIоптимизация ERPоптимизация генерации отчетовсотрудничество с заинтересованными сторонамиавиационная индустрияКазахстанData ManagementAzure Synapse AnalyticsCloud-based AnalyticsPower BIERP OptimizationReport Generation OptimizationStakeholder CollaborationAviation IndustryKazakhstanReferencesDAMA International. The DAMA Guide to the Data Management Body of Knowledge (DMBOK): Version 2. Technics Publications, 2017DAMA International. The DAMA Guide to the Data Management Body of Knowledge (DMBOK): Version 2. Technics Publications, 2017Kimball R., and Ross M. The data warehouse toolkit: The complete guide to dimensional modeling (3rd ed.). John Wiley & Sons, Inc., 2013Kimball R., and Ross M. The data warehouse toolkit: The complete guide to dimensional modeling (3rd ed.). John Wiley & Sons, Inc., 2013Ponniah P. Data Warehousing Fundamentals: A Comprehensive Guide for IT Professionals. Wiley, 2018Ponniah P. Data Warehousing Fundamentals: A Comprehensive Guide for IT Professionals. Wiley, 2018Luhn A., and MacKenzie A. Data Governance: The Definitive Guide. O’Reilly Media, 2022.Luhn A., and MacKenzie A. Data Governance: The Definitive Guide. O’Reilly Media, 2022.Turban E., Sharda R., and Delen D. Decision Support and Business Intelligence Systems (10th ed.). Pearson, 2018.Turban E., Sharda R., and Delen D. Decision Support and Business Intelligence Systems (10th ed.). Pearson, 2018.Hare J.T. Oracle E-Business Suite controls: Foundational principles (2nd ed.). Lulu Publishing Services, 2018Hare J.T. Oracle E-Business Suite controls: Foundational principles (2nd ed.). Lulu Publishing Services, 2018Hernández J.A., Hasayen A., and Aguado J. Cloud migration handbook Vol. 1: A practical guide to successful cloud adoption and migration. Lulu Publishing Services, 2019.Hernández J.A., Hasayen A., and Aguado J. Cloud migration handbook Vol. 1: A practical guide to successful cloud adoption and migration. Lulu Publishing Services, 2019.Jones P. Data governance in the age of cloud computing. Information Management Review, 2020, vol. 33, no. 1, pp. 45–58.Jones P. Data governance in the age of cloud computing. Information Management Review, 2020, vol. 33, no. 1, pp. 45–58.Ghosh D., and Murthy S. Optimizing data management with Azure Synapse and Power BI. Journal of Cloud Computing and Business Intelligence, 2021, vol. 8, no. 4, pp. 215–230.Ghosh D., and Murthy S. Optimizing data management with Azure Synapse and Power BI. Journal of Cloud Computing and Business Intelligence, 2021, vol. 8, no. 4, pp. 215–230.Smith A., and Jones M. The role of cloud analytics in modern business operations. International Journal of Data Management and Technology, 2022, vol. 14, no. 2, pp. 105–121.Smith A., and Jones M. The role of cloud analytics in modern business operations. International Journal of Data Management and Technology, 2022, vol. 14, no. 2, pp. 105–121.Dykes B. The Importance of Cloud Analytics in Business Strategy. Journal of Business Analytics, 2022, vol. 5, no. 2, pp. 123–136. https://doi.org/10.1080/25732392.2022.2081229.Dykes B. The Importance of Cloud Analytics in Business Strategy. Journal of Business Analytics, 2022, vol. 5, no. 2, pp. 123–136. https://doi.org/10.1080/25732392.2022.2081229.Venkatraman,V., and Hsu J. Cloud Computing and Data Management: Exploring the Intersection. International Journal of Cloud Computing and Services Science, 2020, vol. 9, no. 2), pp. 85–98. https://doi.org/10.11591/ijcsi.v9i2.9116.Venkatraman,V., and Hsu J. Cloud Computing and Data Management: Exploring the Intersection. International Journal of Cloud Computing and Services Science, 2020, vol. 9, no. 2), pp. 85–98. https://doi.org/10.11591/ijcsi.v9i2.9116.Chen C., and Zhang P. Cloud Computing for Data Management: A Survey. Journal of Systems and Software, 2022, vol. 197, p. 110515. https://doi.org/10.1016/j.jss.2022.110515.Chen C., and Zhang P. Cloud Computing for Data Management: A Survey. Journal of Systems and Software, 2022, vol. 197, p. 110515. https://doi.org/10.1016/j.jss.2022.110515.Gartner, Inc. Magic quadrant for analytics and business intelligence platforms, 2023. https://www.gartner.com/en/documents/analytic-bi-platforms.Gartner, Inc. Magic quadrant for analytics and business intelligence platforms, 2023. https://www.gartner.com/en/documents/analytic-bi-platforms.Gartner. Magic Quadrant for Data Management Solutions for Analytics, 2023. https://www.gartner.com/en/documents/3999899/magic-quadrant-for-data-management-solutions-for-analytics.Gartner. Magic Quadrant for Data Management Solutions for Analytics, 2023. https://www.gartner.com/en/documents/3999899/magic-quadrant-for-data-management-solutions-for-analytics.Buxton Consulting. (n.d.). Oracle EBS. https://buxtonconsulting.com/it-implementation/enterpriseapplications/oracle-ebs.Buxton Consulting. (n.d.). Oracle EBS. https://buxtonconsulting.com/it-implementation/enterpriseapplications/oracle-ebs.Oracle Help Center. Oracle documentation, 2024. https://docs.oracle.com/cd/E26401_01/doc.122/e22949/T120505T120508.htm.Oracle Help Center. Oracle documentation, 2024. https://docs.oracle.com/cd/E26401_01/doc.122/e22949/T120505T120508.htm.Microsoft Corporation. Azure Synapse Analytics documentation, 2024. https://learn.microsoft.com/en-us/azure/synapse-analytics.Microsoft Corporation. Azure Synapse Analytics documentation, 2024. https://learn.microsoft.com/en-us/azure/synapse-analytics.Microsoft Corporation. Power BI documentation, 2024. https://learn.microsoft.com/en-us/power-bi/.Microsoft Corporation. Power BI documentation, 2024. https://learn.microsoft.com/en-us/power-bi/.Microsoft Corporation. Enterprise BI on Azure Synapse, 2024. https://learn.microsoft.com/en-us/azure/architecture/example-scenario/analytics/enterprise-bi-synapse.Microsoft Corporation. Enterprise BI on Azure Synapse, 2024. https://learn.microsoft.com/en-us/azure/architecture/example-scenario/analytics/enterprise-bi-synapse.Microsoft Corporation. SQL overview and architecture for Azure Synapse Analytics, 2024. https://learn.microsoft.com/en-us/azure/synapse-analytics/sql/overview-architecture.Microsoft Corporation. SQL overview and architecture for Azure Synapse Analytics, 2024. https://learn.microsoft.com/en-us/azure/synapse-analytics/sql/overview-architecture.Rouse M. What is Data Management? 2023. https://www.techtarget.com/search/query?q=data+managementRouse M. What is Data Management? 2023. https://www.techtarget.com/search/query?q=data+managementIBM. Cloud Data Management Solutions, 2023. https://www.ibm.com/cloud/cloud-data-management.IBM. Cloud Data Management Solutions, 2023. https://www.ibm.com/cloud/cloud-data-management.Nutanix. Cloud computing in the airline industry, 2024. https://www.nutanix.com/theforecastbynutanix/industry/cloud-computing-in-the-airline-industry.Nutanix. Cloud computing in the airline industry, 2024. https://www.nutanix.com/theforecastbynutanix/industry/cloud-computing-in-the-airline-industry.Johnson L., Cooper M., & Perez A. Enhancing business efficiency through ERP optimization. Business and Technology Review, 2019, vol. 10, no. 1, pp. 25–40.Johnson L., Cooper M., & Perez A. Enhancing business efficiency through ERP optimization. Business and Technology Review, 2019, vol. 10, no. 1, pp. 25–40.Kumar P., & Lee D. Challenges in adopting cloud-based ERP systems. International Journal of Cloud Computing, 2020, vol. 12, no. 4, pp. 100–115.Kumar P., & Lee D. Challenges in adopting cloud-based ERP systems. International Journal of Cloud Computing, 2020, vol. 12, no. 4, pp. 100–115.Smith J., Brown T., & Lee R. Cloud integration and scalability: A global perspective. Journal of Information Systems, 2021, vol. 35, no. 2, pp. 45–67.Smith J., Brown T., & Lee R. Cloud integration and scalability: A global perspective. Journal of Information Systems, 2021, vol. 35, no. 2, pp. 45–67.Venkatraman V., & Hsu J. Cloud computing and data management: Exploring the intersection. International Journal of Cloud Computing and Services Science, 2020, vol. 9, no. 2, pp. 85–98.Venkatraman V., & Hsu J. Cloud computing and data management: Exploring the intersection. International Journal of Cloud Computing and Services Science, 2020, vol. 9, no. 2, pp. 85–98.Wang Y., Li X., & Chen Z. Transitioning from legacy ERP systems to cloud platforms. Journal of Enterprise Systems, 2020, vol. 15, no. 3, pp. 200–225.Wang Y., Li X., & Chen Z. Transitioning from legacy ERP systems to cloud platforms. Journal of Enterprise Systems, 2020, vol. 15, no. 3, pp. 200–225.

The authors declare that there are no conflicts of interest present.