loading
Papers

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Manik Madhikermi 1 ; Sylvain Kubler 2 ; Andrea Buda 1 and Kary Främling 1

Affiliations: 1 Aalto University, Finland ; 2 University of Luxembourg, Luxembourg

ISBN: 978-989-758-103-8

Keyword(s): Data Quality, Multi-criteria Decision Making, Analytic Hierarchy Process, Decision Support Systems.

Related Ontology Subjects/Areas/Topics: Business Cases and Cost/Benefit Analysis ; Data Engineering ; Data Management and Quality ; Information Quality ; Organizational Concepts and Best Practices

Abstract: Businesses are increasingly using their enterprise data for strategic decision-making activities. In fact, information, derived from data, has become one of the most important tools for businesses to gain competitive edge. Data quality assessment has become a hot topic in numerous sectors and considerable research has been carried out in this respect, although most of the existing frameworks often need to be adapted with respect to the use case needs and features. Within this context, this paper develops a methodology for assessing the quality of enterprises' daily maintenance reporting, relying both on an existing data quality framework and on a Multi-Criteria Decision Making (MCDM) technique. Our methodology is applied in cooperation with a Finnish multinational company in order to evaluate and rank different company sites/office branches (carrying out maintenance activities) according to the quality of their data reporting. Based on this evaluation, the industrial partner wants to establish new action plans for enhanced reporting practices. (More)

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 34.204.173.36

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Madhikermi, M.; Kubler , S.; Buda, A. and Främling, K. (2015). Data Quality Assessment of Company’s Maintenance Reporting: A Case Study.In Proceedings of 4th International Conference on Data Management Technologies and Applications - Volume 1: DATA, ISBN 978-989-758-103-8, pages 162-172. DOI: 10.5220/0005518401620172

@conference{data15,
author={Manik Madhikermi. and Sylvain Kubler . and Andrea Buda. and Kary Främling.},
title={Data Quality Assessment of Company’s Maintenance Reporting: A Case Study},
booktitle={Proceedings of 4th International Conference on Data Management Technologies and Applications - Volume 1: DATA,},
year={2015},
pages={162-172},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005518401620172},
isbn={978-989-758-103-8},
}

TY - CONF

JO - Proceedings of 4th International Conference on Data Management Technologies and Applications - Volume 1: DATA,
TI - Data Quality Assessment of Company’s Maintenance Reporting: A Case Study
SN - 978-989-758-103-8
AU - Madhikermi, M.
AU - Kubler , S.
AU - Buda, A.
AU - Främling, K.
PY - 2015
SP - 162
EP - 172
DO - 10.5220/0005518401620172

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.