Empowering SMEs to make better decisions with Business Intelligence: A Case Study

Abstract

With the advance of Business Information Systems (BIS), irrespective of the size, companies have adopted an approach to electronic data collection and management for two decades. The advancement in technology means they have in their possessions large volumes of historical data. Large organizations have cached on this and use a range of tools and techniques to leverage the usefulness of this information to make more informed business decisions. For most small and medium- sized enterprises (SMEs), however, such data typically sits in an archive without being utilized. While SMEs appreciate the need for utilizing historical data to make more informed business decisions, they often lack the technical knowhow and funding to embrace an effective BI solution. In this paper, drawing from our experience in implementing a BI solution for a UK SME we discuss some potential tools and strategies that could help SMEs overcome these challenges so as to reap the benefits of adopting an effective BI solution.

Publication DOI: https://doi.org/10.1007/978-3-319-99701-8_15
Divisions: ?? 50811700Jl ??
College of Engineering & Physical Sciences > Systems analytics research institute (SARI)
College of Engineering & Physical Sciences > Aston STEM Education Centre
Additional Information: © Springer Nature B.V. 20XX. The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-99701-8_15
Event Title: 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2016
Event Type: Other
Event Dates: 2016-11-09 - 2016-11-11
Uncontrolled Keywords: business Intelligence,data warehouse,Microsoft BI,SME
ISBN: 978-3-319-99700-1, 978-3-319-99701-8
Last Modified: 21 May 2024 07:19
Date Deposited: 09 Jan 2019 15:40
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Related URLs: https://link.sp ... -319-99701-8_15 (Publisher URL)
PURE Output Type: Conference contribution
Published Date: 2018-11-14
Published Online Date: 2018-11-14
Accepted Date: 2016-09-07
Authors: Raj, Raghavendra
Wong, Shun H (ORCID Profile 0000-0002-0290-7242)
Beaumont, Anthony J (ORCID Profile 0000-0002-0105-9683)

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