Naslov
Data warehouse and data quality – an overview

Autori
Brajković, Helena ; Jakšić, Danijela ; Poščić, Patrizia

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Central European Conference on Information and Intelligent Systems CECIIS 2020 / Strahonja, Vjeran ; Kirinić, Valentina - Varaždin : Fakultet organizacije i informatike Sveučilišta u Zagrebu, 2020

Skup
31st Central European Conference on Information and Intelligent Systems (CECIIS 2020)

Mjesto i datum
Varaždin, Hrvatska, 07.10.2020. - 09.10.2020

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
data warehouse ; data quality ; database ; ETL ; data model

Sažetak
Almost every company today is collecting and storing data for later analysis and business decision making in some kind of repository, usually a data warehouse. In order for decision to be timely and accurate (content-wise), it should be based on high quality data. Data quality policies and standards can be applied to every data warehouse. However, every data warehouse is unique and there is a need to consider a lot of criteria to achieve the best outcome. The goal of this paper is mostly to give an overview of data quality issues in a data warehouse, explain different criteria and categories for data quality and show some causes and consequences of saving low quality data in the data warehouse. The main contribution of this paper is, consequently, an overview of data quality issues in the context of data warehouses and an insight into some new and emerging research areas in the field of data warehouse quality.

Izvorni jezik
Engleski

Znanstvena područja
Informacijske i komunikacijske znanosti

POVEZANOST RADA