Gábor Vajda, Antal Martzy, Zoltán Lovász, Zoltán Zéman
{"title":"Integration of financial institutions supported with data asset development – Magyar Bankholding case study","authors":"Gábor Vajda, Antal Martzy, Zoltán Lovász, Zoltán Zéman","doi":"10.35551/pfq_2023_3_3","DOIUrl":null,"url":null,"abstract":"Magyar Bankholding was created as a result of the integration of three large banks, where digitisation and data centricity, including also the creation of efficient data asset management, were emphasised from the very beginning. Our study investigates, as a case study, whether a survey and preparation work based on the maturity assessment method can shorten the implementation time of a data asset, estimated at 1 to 1.5 years, to 7 months in a complex bank integration process. The results were backtested one year after the work was completed, so all the effects could be evaluated. It can be concluded that the application of the methodology described in the study has had a positive impact not only on time requirements, but also on business, digitalisation and technological objectives.","PeriodicalId":42979,"journal":{"name":"Public Finance Quarterly-Hungary","volume":"131 1","pages":"0"},"PeriodicalIF":0.4000,"publicationDate":"2023-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Public Finance Quarterly-Hungary","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.35551/pfq_2023_3_3","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
引用次数: 0
Abstract
Magyar Bankholding was created as a result of the integration of three large banks, where digitisation and data centricity, including also the creation of efficient data asset management, were emphasised from the very beginning. Our study investigates, as a case study, whether a survey and preparation work based on the maturity assessment method can shorten the implementation time of a data asset, estimated at 1 to 1.5 years, to 7 months in a complex bank integration process. The results were backtested one year after the work was completed, so all the effects could be evaluated. It can be concluded that the application of the methodology described in the study has had a positive impact not only on time requirements, but also on business, digitalisation and technological objectives.
Magyar Bankholding是三家大型银行整合的结果,从一开始就强调数字化和数据中心,包括创建高效的数据资产管理。作为一个案例,我们的研究探讨了在一个复杂的银行整合过程中,基于期限评估方法的调查和准备工作是否可以将数据资产的实施时间从估计的1 - 1.5年缩短到7个月。在工作完成一年后对结果进行回溯测试,以便对所有效果进行评估。可以得出结论,研究中描述的方法的应用不仅对时间要求产生了积极影响,而且对业务,数字化和技术目标也产生了积极影响。