2016
DOI: 10.5171/2016.473749
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A Framework for Improving Business Intelligence through Master Data Management

Abstract: IntroductionFor reporting and for analytics purposes, financial banks highly demand real-time delivery of quality operational information. This means working with high volumes of data regularly, that would need to be managed to produce the best quality of data for analytics and reporting purposes. Through the empirical study, it was found that banks are still faced with challenges of data management, maintaining and creating quality data. Business Intelligence (BI) entails timely analysis and decision Abstract… Show more

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Cited by 12 publications
(7 citation statements)
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“…In this section, the researcher summarizes the most notable demographic and functional features of the respondents as specified in their responses, as shown in Table (3). (3) shows that (males) make up the majority of the study sample members, accounting for (322) persons, or (83.0%) of the entire study sample.…”
Section: Characteristics Of the Study Samplementioning
confidence: 99%
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“…In this section, the researcher summarizes the most notable demographic and functional features of the respondents as specified in their responses, as shown in Table (3). (3) shows that (males) make up the majority of the study sample members, accounting for (322) persons, or (83.0%) of the entire study sample.…”
Section: Characteristics Of the Study Samplementioning
confidence: 99%
“…-Educational level: According to Table (3), the majority of the study sample has a bachelor's degree, as they totaled (268) and made up (69.1%) of the overall study sample. They were followed in second place by those who got an academic qualification (Master's), which totaled (89) persons and made up (22.9%) of the overall study population.…”
Section: Characteristics Of the Study Samplementioning
confidence: 99%
See 1 more Smart Citation
“…Today it is recognised as a multidisciplinary research approach, which is increasingly oriented toward the study of technological and human aspects within organisations and social systems (Nardi, 1996;Barab, Evans and Baek, 2004;White and Cicmil, 2016). Recent examples of use reported in organisational and business sciences and published in various 'business journals' include its use for business intelligence (Kekwaletswe and Lesole, 2016), knowledge acquisition through process mapping (White and Cicmil, 2016) and the creation and evolution of new business ventures (Jones and Holt, 2008). The value of integrating AT into organisation studies, particularly those relating to organisational change and technology-mediated change has been noted (Harrington and Kearney, 2011;Kang and Hovav, 2018).…”
Section: At In Researchmentioning
confidence: 99%
“…The main Knowledge Base -KBof the information is into the enterprise information systems (Enterprise Resource Planning -ERPdatabase) representing the "heart" of the information of a company. The data acquisition procedure is important for the creation of Business Intelligence -BI-model [5], able to manage data into several levels such as: • Data entry system;…”
Section: Introductionmentioning
confidence: 99%