Effective Measurement of DQ/IQ for BI

Author:

Sundararaman Arun Thotapalli1

Affiliation:

1. India/Birla Institute of Technology and Science, India

Abstract

DQ/IQ measurement in general and in the specific context of BI has always been a topic of high interest for researchers. The topic of Data Quality (DQ) in the field of Information Management has been well researched, published, and studied. Despite such research advances, there has been very little understanding either from a theoretical or from a practical perspective of DQ/IQ measurement for BI. Assessing the quality of data for a BI System has been one of the major challenges for researchers as well as practitioners, leading to the need for frameworks to measure DQ for BI. The objective of this chapter is to provide an overview of the existing frameworks for measurement of DQ for BI, analyze the gaps therein, review proposed solutions, and provide a direction for future research and practice in this area.

Publisher

IGI Global

Reference34 articles.

1. Alkharboush, N., & Li, Y. (2010). A decision rule method for data quality assessment. In Proceedings of the 15th International Conference on Information Quality. IEEE.

2. Cong, G., Fan, W., Geerts, F., Jia, X., & Ma, S. (2007). Improving data quality: Consistency and accuracy. In Proceedings of the 33rd International Conference on Very Large Databases, (pp. 315-326). IEEE.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3