2017
DOI: 10.18178/ijtef.2017.8.2.547
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Assessing the Importance of Data Factors of Data Quality Model in the Business Intelligence Area

Abstract: Abstract-Business Intelligence (BI) is defined as the intelligent transfer of data from all variety of sources with a view to providing a real time quantification of business performance. Moreover, by utilizing BI senior managers are able to make better-informed decisions, guided by the integration of comprehensive information from all facets of an organization in real time. Further, the quality of corporate decision making is directly dependent upon the quality of data. Quality dimensions have proven to be of… Show more

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Cited by 1 publication
(1 citation statement)
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“…IQ dimensions based on Hejazi, Abdolvand, and Rajaee Harandi (2017) are accuracy, objectivity, believability, reputation, access, security, relevancy, value-added, timeliness, completeness, amount of data, interpretability, ease of understanding, concise representation and consistent representation. In addition, according to Shapiro, Escolar, Delaney, and Mitchell (2017), the IQrelated five factors based on the Stanford-Binet intelligence scale are knowledge, quantitative reasoning, visual-spatial processing, working memory and fluid reasoning.…”
Section: Intelligence Quotientmentioning
confidence: 99%
“…IQ dimensions based on Hejazi, Abdolvand, and Rajaee Harandi (2017) are accuracy, objectivity, believability, reputation, access, security, relevancy, value-added, timeliness, completeness, amount of data, interpretability, ease of understanding, concise representation and consistent representation. In addition, according to Shapiro, Escolar, Delaney, and Mitchell (2017), the IQrelated five factors based on the Stanford-Binet intelligence scale are knowledge, quantitative reasoning, visual-spatial processing, working memory and fluid reasoning.…”
Section: Intelligence Quotientmentioning
confidence: 99%