Nugroho Wibisono, Moh A. Amin Soetomo, Heru Purnomo Ipung, Marastika Wicaksono Aji Bawono, E. Budiarto
{"title":"合并电信公司数据集成准备度分析","authors":"Nugroho Wibisono, Moh A. Amin Soetomo, Heru Purnomo Ipung, Marastika Wicaksono Aji Bawono, E. Budiarto","doi":"10.1109/ICIMCIS53775.2021.9699131","DOIUrl":null,"url":null,"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.","PeriodicalId":250460,"journal":{"name":"2021 International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS","volume":"110 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Data Integration Readiness Analysis in Merged Telecommunication Company\",\"authors\":\"Nugroho Wibisono, Moh A. Amin Soetomo, Heru Purnomo Ipung, Marastika Wicaksono Aji Bawono, E. Budiarto\",\"doi\":\"10.1109/ICIMCIS53775.2021.9699131\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":250460,\"journal\":{\"name\":\"2021 International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS\",\"volume\":\"110 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-10-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIMCIS53775.2021.9699131\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIMCIS53775.2021.9699131","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Data Integration Readiness Analysis in Merged Telecommunication Company
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.