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

Research output: Chapter in Book/Published conference outputConference publication

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.
Original languageEnglish
Title of host publicationIC3K 2016: Knowledge Discovery, Knowledge Engineering and Knowledge Management
EditorsA. Fred, J. Dietz, D. Aveiro, K. Liu, J. Bernadino, J. Filipe
PublisherSpringer
Pages306-325
Number of pages24
Volume914
ISBN (Electronic)978-3-319-99701-8
ISBN (Print)978-3-319-99700-1
DOIs
Publication statusE-pub ahead of print - 14 Nov 2018
Event8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2016 - Porto, Portugal
Duration: 9 Nov 201611 Nov 2016

Publication series

NameCommunications in Computer and Information Science
PublisherSpringer
Volume914
ISSN (Print)1865 0929

Conference

Conference8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2016
Country/TerritoryPortugal
CityPorto
Period9/11/1611/11/16

Bibliographical note

© 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

Keywords

  • business Intelligence
  • data warehouse
  • Microsoft BI
  • SME

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