信息系统与金融技术中心数据分析发展项目的问题与挑战

Muhammad Badriansyah Putra, Fahmi Alaydrus, Ira Sulistyowati, T. Raharjo, Riko Wijayanto
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引用次数: 0

摘要

信息技术的发展促使政府将业务流程数字化。数字化从各种数据源生成大量不同的数据,因此需要数据分析开发项目来克服这一点,以支持组织的数据驱动决策。本研究旨在确定信息系统和金融技术中心(Pusintek)数据分析开发项目中的问题和挑战,然后数据分析可以准备战略计划,以最大限度地减少问题和挑战,使数据分析获得最佳成功。通过对2021年在Pusintek开展数据分析开发项目的员工进行访谈,确定数据分析项目开发中的问题和挑战,然后使用定性分析方法进行分析。研究结果表明,在Pusintek的数据分析开发项目中,最大的问题和挑战是数据与信息管理和数据分析团队,其次是管理、项目管理和流程。这些问题和挑战应该得到组织的更多关注,并立即跟进,以便数据分析项目能够成功。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Issues and Challenges of the Data Analytics Development Project in The Center of Information System and Financial Technology
The development of information technology encourages the government to digitize business processes. The digitization generates a large and varied volume from various data sources so that data analytics development projects are required to overcome this to support the organization’s data-driven decision making. This study aims to identify problems and challenges in the data analytics development project at the Center for Information Systems and Financial Technology (Pusintek) then the data analytics can prepare a strategic plan to minimize the issues and challenges so that the data analytic is optimally successful. The identification of issues and challenges in the development of data analytics projects is carried out through interviews with employees who carry out data analytics development projects at Pusintek in 2021 and then analyzed using qualitative analysis methods. Result of this study, the most issues and challenges in the data analytics development project at Pusintek are the data & information management and data analytics teams, followed by management, project management, and process. These issues and challenges should get more attention from the organization to be followed up immediately so that data analytics projects can be successful.
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