Paper Info
Title
Cost-benefit considerations for Data Analytics - An SME-Oriented Framework enhanced by a Management Perspective and the Process of Idea Generation.
Abstract
Regarding the economy, Data Mining is one of the most interesting trends in recent years. It enables organizations of different branches of trade to make use of their data. This can ultimately lead to the creation of competitive advantages. Nevertheless, Data Mining requires expertise as well as a systematic approach. Both is especially lacking in many small and medium-sized enterprises (SMEs). That is why particularly SMEs need to be supported in regard to the challenges of Data Mining Therefore, a Data Mining framework that pays attention to the special features of SMEs was created at Aalen University of Applied Sciences. However, even this framework shows some potentials for extension. Because SMEs are especially dependent on thoroughly using their funds, this aspect also has to be considered when it comes to the application of Data Mining This research investigates economical aspects, how SMEs can integrate cost-benefit considerations into the process of implementing Data Mining (C) 2019 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/) Peer-review under responsibility of KES International.
Year
DOI
Venue
2019
10.1016/j.procs.2019.09.324
Procedia Computer Science
Keywords
Field
DocType
Data Mining,SMEs,Data Mining Framework,Cost-Benefit Consideration
Data science,Ideation,Data analysis,Computer science,Competitive advantage,Artificial intelligence,Cost benefit,Machine learning,Applied science
Conference
Volume
ISSN
Citations 
159
1877-0509
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Ralf-Christian Härting15313.55
Alexander Sprengel200.68