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2020 | OriginalPaper | Buchkapitel

Data Quality Management in ERP Systems – Accounting Case

verfasst von : Marcin Hernes, Andrzej Bytniewski, Karolina Mateńczuk, Artur Rot, Szymon Dziuba, Marcin Fojcik, Tran Luong Nguyet, Paweł Golec, Agata Kozina

Erschienen in: Advances in Computational Collective Intelligence

Verlag: Springer International Publishing

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Abstract

ERP systems process data obtained from heterogeneous sources and therefore the data are characterized by different quality. In order to effectively support management, ERP systems must be based on high-quality data. This is a prerequisite for making decisions within the company. The aim of this paper is to analyse the problems of data quality management in ERP systems and its main contribution is to develop procedures for data quality management in data processing, especially accounting data. The basic outcome of the conducted research is the systematization of the knowledge concerning the data allowing for making quick and effective economic decisions. Based on the results of the research it was concluded that a large number of data control procedures embedded in the ERP allows for ensuring appropriate data quality.

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Vorheriges Kapitel Haul Truck Cycle Identification Using Support Vector Machine and DBSCAN Models

Nächstes Kapitel A Model of Enterprise Analytical Platform for Supply Chain Management

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Titel: Data Quality Management in ERP Systems – Accounting Case
verfasst von: Marcin Hernes
Andrzej Bytniewski
Karolina Mateńczuk
Artur Rot
Szymon Dziuba
Marcin Fojcik
Tran Luong Nguyet
Paweł Golec
Agata Kozina
Verlag: Springer International Publishing
Buch: Advances in Computational Collective Intelligence
Print ISBN: 978-3-030-63118-5

Electronic ISBN: 978-3-030-63119-2

Copyright-Jahr: 2020
DOI: https://doi.org/10.1007/978-3-030-63119-2_29

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