Alessandro Milán, J. Mejía, M. Muñoz, Carlos A. Carballo
{"title":"Success factors and benefits of using business intelligence for corporate performance management","authors":"Alessandro Milán, J. Mejía, M. Muñoz, Carlos A. Carballo","doi":"10.1109/CIMPS52057.2020.9390108","DOIUrl":null,"url":null,"abstract":"The increasingly amount of information coming from internal and external sources has complicated the decision-making process, and therefore, the performance management of an organization. Business Intelligence (BI) has proved to be an effective way to solve these issues by providing a faster and more accurate access to information by using dashboards. However, while many studies focus on the benefits of using BI on financial performance, very few studies have evaluated the linkage between BI and non-financial performance, even more; there is little evidence on the measurement of this kind of information. This paper presents the results of a systematic literature review to establish the state-of-the-art of business intelligence for corporate performance management (CPM). The findings also encourage the creation of a BI implementation model that integrates a solution for the deficiencies found during the research.","PeriodicalId":439186,"journal":{"name":"2020 9th International Conference On Software Process Improvement (CIMPS)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 9th International Conference On Software Process Improvement (CIMPS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIMPS52057.2020.9390108","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The increasingly amount of information coming from internal and external sources has complicated the decision-making process, and therefore, the performance management of an organization. Business Intelligence (BI) has proved to be an effective way to solve these issues by providing a faster and more accurate access to information by using dashboards. However, while many studies focus on the benefits of using BI on financial performance, very few studies have evaluated the linkage between BI and non-financial performance, even more; there is little evidence on the measurement of this kind of information. This paper presents the results of a systematic literature review to establish the state-of-the-art of business intelligence for corporate performance management (CPM). The findings also encourage the creation of a BI implementation model that integrates a solution for the deficiencies found during the research.