Enterprise Resource Planning and Business Intelligence Systems for Information Quality

This book analyses the role of Enterprise Resource Planning (ERP) and Business Intelligence (BI) systems in improving information quality through an empirical analysis carried out in Italy. The study begins with a detailed examination of ERP features that

  • PDF / 2,792,321 Bytes
  • 150 Pages / 453.543 x 683.15 pts Page_size
  • 28 Downloads / 288 Views

DOWNLOAD

REPORT


Carlo Caserio · Sara Trucco

Enterprise Resource Planning and Business Intelligence Systems for Information Quality An Empirical Analysis in the Italian Setting

Contributions to Management Science

More information about this series at http://www.springer.com/series/1505

Carlo Caserio Sara Trucco •

Enterprise Resource Planning and Business Intelligence Systems for Information Quality An Empirical Analysis in the Italian Setting

123

Carlo Caserio Faculty of Economics Università degli Studi eCampus Novedrate Italy

Sara Trucco Faculty of Economics Università degli Studi Internazionali di Roma Rome Italy

ISSN 1431-1941 ISSN 2197-716X (electronic) Contributions to Management Science ISBN 978-3-319-77678-1 ISBN 978-3-319-77679-8 (eBook) https://doi.org/10.1007/978-3-319-77679-8 Library of Congress Control Number: 2018936625 © Springer International Publishing AG, part of Springer Nature 2018 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms 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 specific 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. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. Printed on acid-free paper This Springer imprint is published by the registered company Springer International Publishing AG part of Springer Nature The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland

To my family Carlo Caserio To my Mom and Dad Sara Trucco

Preface

Nowadays, Information Technology (IT) innovations, the advent of the Internet, and the ease of finding and sharing information are all elements that contribute to obtaining overwhelming amounts of data and information. On the one hand, managers can now easily find and store information, and on the other hand, this hyper-amount of data does not allow us to distinguish between “good” and “bad” information. Furthermore, the data and information stored in enterprise databases may be obsolete, inaccurate, irrelevant, or partial. In other words, companies do not find it difficult to acquire and store a huge “quantity” of data and information. T

Data Loading...