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Research Article

EEO. 2020; 19(4): 5536-5545


Improvement In Information Quality As A Beneficial Measure Of Business Intelligence System

Sani Kumar, Dr. Hari Om Sharan.




Abstract

Since business intelligence systems' effect on performanceto whatever else since quite a while earlier named and twisting, most degrees of business respect are insufficient near incite impact of such systems and in like way not appropriate to legitimize interests into business intelligence systems in authentic business conditions. As a result, measures identified with increased information and data quality as a result of business intelligence systems are commonly used.The aim of this review is to assess how much value business intelligence system execution brings in terms of monitoring for major data quality issues.Preliminary information was gathered through various forms of research and extensive affiliations.The data, which associated with 181 medium and large affiliations, was subjected to quantitative analysis. According to the assessment report, business intelligence systems have a major effect on two dimensions of data quality, namely information quality and media quality. Similarly, there is now a gap between open data quality and information requirements, in view of all – main data quality problems do exist.Consequently, the principle point of the article is to dissect the prerequisite of such measures to serve the business intelligence framework.

Key words: Business intelligence system, information quality, qualitative assessment.






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