AN ANALYSIS OF QUALITY ASSURANCE FOR BUSINESS INTELLIGENCE PROCESS IN EDUCATION SECTOR

Quality Assurance for Business Intelligence is aimed at ensuring that BI systems supply proper, reliable, anduseful information. This comprises data accuracy checking, standardisation of reporting, user education, datasecurity and privacy alongside data quality enhancement. QA leads to accurate conclusions and theoptimisation of organisational performance with the help of BI while upgrading data quality and systemefficiency. It is an undisputed fact that quality education plays a crucial role in deciding the growth andprogress of modern civilisation. Modern schools and colleges are attempting to develop the active improvementof their programs and to maintain quality control for business information. Exploring the current state ofeducational quality management is the topic of this article in view of the BI systems’ integration and QA in theeducation sector. In regards to this, it assesses how the conventional QA technique can complemented by usingBI tools to enhance data readability, reporting, and decision-making. Thus, the paper, being an analysis of thecontribution of BI in enhancing local QA strategies, describes how BI can support operative insights, forecasts,and resource management. It aims to offer a comprehensive framework for combining QA with BI to address thechallenges faced by educational institutions, ultimately leading to more effective quality management andcontinuous improvement in educational outcomes.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-09-12
DOI
https://doi.org/10.5281/zenodo.13771026
Primary Topic
Big Data and Business Intelligence
Type
article
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article

AN ANALYSIS OF QUALITY ASSURANCE FOR BUSINESS INTELLIGENCE PROCESS IN EDUCATION SECTOR

Zenodo (CERN European Organization for Nuclear Research)
Big Data and Business Intelligence
article

AN ANALYSIS OF QUALITY ASSURANCE FOR BUSINESS INTELLIGENCE PROCESS IN EDUCATION SECTOR

article en

Abstract

Quality Assurance for Business Intelligence is aimed at ensuring that BI systems supply proper, reliable, anduseful information. This comprises data accuracy checking, standardisation of reporting, user education, datasecurity and privacy alongside data quality enhancement. QA leads to accurate conclusions and theoptimisation of organisational performance with the help of BI while upgrading data quality and systemefficiency. It is an undisputed fact that quality education plays a crucial role in deciding the growth andprogress of modern civilisation. Modern schools and colleges are attempting to develop the active improvementof their programs and to maintain quality control for business information. Exploring the current state ofeducational quality management is the topic of this article in view of the BI systems’ integration and QA in theeducation sector. In regards to this, it assesses how the conventional QA technique can complemented by usingBI tools to enhance data readability, reporting, and decision-making. Thus, the paper, being an analysis of thecontribution of BI in enhancing local QA strategies, describes how BI can support operative insights, forecasts,and resource management. It aims to offer a comprehensive framework for combining QA with BI to address thechallenges faced by educational institutions, ultimately leading to more effective quality management andcontinuous improvement in educational outcomes.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 41%
Big Data and Business Intelligence
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