A Literature Review on Quality Prediction in Data Warehouse

5 Pages Posted: 12 Oct 2019

See all articles by Shailee Bhatia

Shailee Bhatia

Jagannath University, Students

Renu Bagoria

Jagannath University, Jaipur

Barjesh Kochar

Jagan Institute of Managment Studies

Date Written: October 5, 2019

Abstract

The data warehouse has been proved to be of utmost importance in managing large data of an organization and help managers and business analysts in making organization-wide decisions. Information in the storehouse should exist in a high-grade state as low-quality facts and data may lead to wrong strategic decisions. A bad quality in the warehouse of data can lead to adverse results from both industrial and professional point of view. Various factors for quality prediction have been undertaken in this study. It has been found that the existing systems have various gaps that need to be addressed. Thus, a novel system is proposed in the study so as to predict the qualitative aspect of the warehouse.

Keywords: Empirical Validation, Metrics, Quality, Quality Prediction

Suggested Citation

Bhatia, Shailee and Bagoria, Renu and Kochar, Barjesh, A Literature Review on Quality Prediction in Data Warehouse (October 5, 2019). Proceedings of International Conference on Advancements in Computing & Management (ICACM) 2019. Available at SSRN: https://ssrn.com/abstract=3464938 or http://dx.doi.org/10.2139/ssrn.3464938

Shailee Bhatia (Contact Author)

Jagannath University, Students ( email )

India

Renu Bagoria

Jagannath University, Jaipur ( email )

Rampura
Chaksu
Jaipur, RI 302020
India

Barjesh Kochar

Jagan Institute of Managment Studies ( email )

Delhi
India

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