Abstract
Business Intelligence (BI) solutions conunonly aim at assisting decision-making processes by providing a comprehensive view- over a company's core business data and suitable abstractions thereof. Decision-making based on BI solutions therefore builds on the assumption that providing users with targeted, problem- specific fact data enables them to make informed and. hence, better decisions in then everyday businesses. In order to really provide users with all the necessary details to make informed decisions, we however believe that - in addition to conventional reports - it is essential to also provide users with information about the quality, i.e. with quality metadata, regarding the data from which reports are generated. Identifying a lack of support for quality metadata management in conventional BI solutions, in tins paper we propose the idea of quality-aware reports and a possible architecture for quality-aware BI, able to involve the users themselves into the quality metadata management process, by explicitly solicitmg and exploiting user feedback.
| Original language | English |
|---|---|
| Pages (from-to) | 133-144 |
| Number of pages | 12 |
| Journal | CTIT workshop proceedings series |
| Volume | WP 08 |
| Issue number | 02 |
| Publication status | Published - 2008 |
| Externally published | Yes |
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ASJC Scopus subject areas
- Information Systems
- Geography, Planning and Development
Cite this
Managing data quality in business intelligence applications. / Daniel, Florian; Casati, Fabio; Palpanas, Themis; Chayka, Oleksiy.
In: CTIT workshop proceedings series, Vol. WP 08, No. 02, 2008, p. 133-144.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Managing data quality in business intelligence applications
AU - Daniel, Florian
AU - Casati, Fabio
AU - Palpanas, Themis
AU - Chayka, Oleksiy
PY - 2008
Y1 - 2008
N2 - Business Intelligence (BI) solutions conunonly aim at assisting decision-making processes by providing a comprehensive view- over a company's core business data and suitable abstractions thereof. Decision-making based on BI solutions therefore builds on the assumption that providing users with targeted, problem- specific fact data enables them to make informed and. hence, better decisions in then everyday businesses. In order to really provide users with all the necessary details to make informed decisions, we however believe that - in addition to conventional reports - it is essential to also provide users with information about the quality, i.e. with quality metadata, regarding the data from which reports are generated. Identifying a lack of support for quality metadata management in conventional BI solutions, in tins paper we propose the idea of quality-aware reports and a possible architecture for quality-aware BI, able to involve the users themselves into the quality metadata management process, by explicitly solicitmg and exploiting user feedback.
AB - Business Intelligence (BI) solutions conunonly aim at assisting decision-making processes by providing a comprehensive view- over a company's core business data and suitable abstractions thereof. Decision-making based on BI solutions therefore builds on the assumption that providing users with targeted, problem- specific fact data enables them to make informed and. hence, better decisions in then everyday businesses. In order to really provide users with all the necessary details to make informed decisions, we however believe that - in addition to conventional reports - it is essential to also provide users with information about the quality, i.e. with quality metadata, regarding the data from which reports are generated. Identifying a lack of support for quality metadata management in conventional BI solutions, in tins paper we propose the idea of quality-aware reports and a possible architecture for quality-aware BI, able to involve the users themselves into the quality metadata management process, by explicitly solicitmg and exploiting user feedback.
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UR - http://www.scopus.com/inward/citedby.url?scp=84882970045&partnerID=8YFLogxK
M3 - Article
AN - SCOPUS:84882970045
VL - WP 08
SP - 133
EP - 144
JO - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
JF - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
SN - 1682-1750
IS - 02
ER -