Data Integration Readiness Analysis in Merged Telecommunication Company

Nugroho Wibisono, Moh A. Amin Soetomo, Heru Purnomo Ipung, Marastika Wicaksono Aji Bawono, E. Budiarto
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引用次数: 1

Abstract

This study conducted analysis of the readiness of data integration in merged telecommunication company, using the Data Management Body of Knowledge (DAMA-DMBOK) framework and evaluating it with COBIT. Three readiness parameters are evaluated, namely Data Architecture, Data Governance, and Data Quality. The analysis process uses a case in the calculation of revenue and billing collection, which has an impact on the achievement of cash and net income in the company, which is the KPI for the Business Performance of the company. From the Data Architecture Analysis, it was found that some of the business processes were still run manually and had not been integrated. From the Analysis of Data Governance and Data Quality, it is found that there are differences in the interpretation of these two parameters in the company's internal, namely in the expert group of recording revenue compared to the non-expert one, as well as differences in company base employees from companies M and P. Also, it is reviewed from the Data Quality is readier for data integration than when viewed from Data Governance, therefore it requires a lot of improvement. This study aims to uncover that companies should take further systematic and strategic steps before the data integration process is carried out. The DAMA-DMBOK method obtained that Company M had the applicable percentage of 52,98% while Company P had the applicable percentage of 95.00%. Due to the large gap between the perception, further investigation needs to be conducted in possible future studies.
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合并电信公司数据集成准备度分析
本研究采用数据管理知识体系框架(DAMA-DMBOK)对合并后电信公司的数据集成准备情况进行了分析,并使用COBIT对其进行了评估。评估三个准备参数,即数据体系结构、数据治理和数据质量。分析过程使用一个案例来计算收入和收款,这对公司现金和净收入的实现有影响,这是公司业务绩效的KPI。从数据体系结构分析中,我们发现一些业务流程仍然是手动运行的,并且没有被集成。从数据治理和数据质量分析中,我们发现公司内部对这两个参数的解释存在差异,即记录收入的专家小组与非专家小组的差异,以及来自M公司和p公司的公司基础员工的差异。此外,从数据质量角度来看,数据质量比从数据治理角度来看更容易进行数据集成,因此需要大量改进。本研究旨在揭示企业在进行数据整合过程之前应采取进一步的系统和战略步骤。DAMA-DMBOK法得出M公司的适用率为52.98%,P公司的适用率为95.00%。由于认知上的差距较大,在未来可能的研究中需要进行进一步的调查。
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