Research Question and Hypotheses
The main focus of this Master’ thesis is to investigate the relationship between nine dimensions of data quality and decision-making efficiency measures such as time and one’s ability to make predictions. The reason why exactly nine dimensions were chosen
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Springer awards „BestMasters“ to the best master’s theses which have been completed at renowned universities in Germany, Austria, and Switzerland. The studies received highest marks and were recommended for publication by supervisors. They address current issues from various fields of research in natural sciences, psychology, technology, and economics. The series addresses practitioners as well as scientists and, in particular, offers guidance for early stage researchers.
Christoph Samitsch
Data Quality and its Impacts on Decision-Making How Managers can benefit from Good Data
Christoph Samitsch Innsbruck, Austria Master´s thesis, Management Center Innsbruck 2014, Innsbruck, Austria
BestMasters ISBN 978-3-658-08199-7 ISBN 978-3-658-08200-0 (eBook) DOI 10.1007/978-3-658-08200-0 Library of Congress Control Number: 2014956117 Springer Gabler © Springer Fachmedien Wiesbaden 2015 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, speci¿cally the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on micro¿lms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a speci¿c statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. Printed on acid-free paper Springer Gabler is a brand of Springer Fachmedien Wiesbaden Springer Fachmedien Wiesbaden is part of Springer Science+Business Media (www.springer.com)
Foreword For all types of businesses, there is an increasing trend towards the utilization of data, as well as information that can be gathered from data. Big Data or Data Scientist are the new terms that emerged from recent developments in the field of data and information science, just to mention a couple examples. The assurance of data quality has become an integral part of information management practices in organizations. Data of high quality may be the basis for making good decisions, whereas poor data quality may have negative effects on decision-making tasks. This will eventually lead to the need for changing requirements for decision support systems (DSS). In particular, it will change the way data is being gathered and presented in order to aid decision-makers. After a thorough literature review on the topic of data and information quality, fields of research that a
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