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The Evolution of Adaptive Case Management from a DSS and Social Collaboration Perspective Read chapter Read first chapter

2016 | OriginalPaper | Chapter

Data Mining Approach to Assessment of the ERP System from the Vendor’s Perspective

Author : Ilona Pawełoszek

Published in: Information Technology for Management

Publisher: Springer International Publishing

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Abstract

The paper presents an approach to analysis and assessment of benefits brought by an implementation of an Enterprise Resource Planning system. The research has been conducted on a sample of 10 Polish companies using the Xpertis software, which is one of the popular applications for supporting the business activities of small and medium companies. The approach presented hereby aims at elaboration of the assessment method which can be easily applied by the software vendor, moreover it is acceptable by the customers because it does not disclose the confidential business information and still gives the results informative enough to be valuable as well for the software company as for its customers. Analysis conducted through the Orange Data Mining tool was described. The comparative study of the Xpertis ERP features and the customers’ characteristics has been briefly presented and the directions of the future development of the considered software have been proposed.

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previous chapter Fuzzy Logic as Agents’ Knowledge Representation in A-Trader System
next chapter Comparative Analysis of Electronic Banking Websites in Poland in 2014 and 2015
Footnotes
1
Software developed by Bioinformatics Lab at University of Ljubljana, Slovenia, in collaboration with open source community http://​orange.​biolab.​si/​.
 
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Metadata
Title
Data Mining Approach to Assessment of the ERP System from the Vendor’s Perspective
Author
Ilona Pawełoszek
Copyright Year
2016
Publisher
Springer International Publishing
Book
Information Technology for Management

Print ISBN: 978-3-319-30527-1

Electronic ISBN: 978-3-319-30528-8

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-30528-8_8

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