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Authors: Rolf Krieger and Christian Schorr

Affiliation: Institute for Software Systems, University of Applied Sciences Trier, Birkenfeld and Germany

Keyword(s): Data Quality, Data Profiling, Exploratory Data Analysis, Product Data, Enterprise Resource Planning.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Business Analytics ; Data Analytics ; Data Engineering ; Data Management and Quality ; Information Quality ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Symbolic Systems

Abstract: Due to the high volume of data and the increasing automation in retail, more and more companies are dealing with procedures to improve the quality of product data. A promising approach is the use of machine learning methods that support the user in master data management. The development of such procedures demands error-free training data. This means that product data must be cleaned and labelled which requires extensive data profiling. For typical retail company data bases with usually complex and convoluted structures this exploration step can take a huge and expensive amount of time. In order to speed up this process we present a reference model and best practices for the systematic and efficient profiling and exploration of product data.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Krieger, R. and Schorr, C. (2019). A Reference Model for Product Data Profiling in Retail ERP Systems. In Proceedings of the 8th International Conference on Data Science, Technology and Applications - DATA; ISBN 978-989-758-377-3; ISSN 2184-285X, SciTePress, pages 317-324. DOI: 10.5220/0007953303170324

@conference{data19,
author={Rolf Krieger. and Christian Schorr.},
title={A Reference Model for Product Data Profiling in Retail ERP Systems},
booktitle={Proceedings of the 8th International Conference on Data Science, Technology and Applications - DATA},
year={2019},
pages={317-324},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007953303170324},
isbn={978-989-758-377-3},
issn={2184-285X},
}

TY - CONF

JO - Proceedings of the 8th International Conference on Data Science, Technology and Applications - DATA
TI - A Reference Model for Product Data Profiling in Retail ERP Systems
SN - 978-989-758-377-3
IS - 2184-285X
AU - Krieger, R.
AU - Schorr, C.
PY - 2019
SP - 317
EP - 324
DO - 10.5220/0007953303170324
PB - SciTePress

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