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International Joint Conference on Knowledge Discovery, Knowledge Engineering, and Knowledge Management

IC3K 2016: Knowledge Discovery, Knowledge Engineering and Knowledge Management pp 306–325Cite as

Empowering SMEs to Make Better Decisions with Business Intelligence: A Case Study

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 914))

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.

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Acknowledgements

The project reported in this case study is funded by Innovate UK via the Knowledge Transfer Partnership Scheme (KTP009714). We acknowledge the financial support by Innovate UK. We also acknowledge the advice provided by our KTP Adviser Ms Jose Freeman throughout the project development. We thank the team at AGGORA who made this project possible through their participation.

Author information

Authors and Affiliations

  1. AGGORA Group, North Moons Moat, Redditch, B98 7UX, UK

    Raghavendra Raj

  2. School of Engineering and Applied Science, Aston University, Aston Triangle, Birmingham, B4 7ET, UK

    Shun Ha Sylvia Wong & Anthony J. Beaumont

Authors
  1. Raghavendra Raj
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  2. Shun Ha Sylvia Wong
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  3. Anthony J. Beaumont
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Corresponding author

Correspondence to Raghavendra Raj .

Editor information

Editors and Affiliations

  1. Instituto de Telecomunicações, Lisbon, Portugal

    Ana Fred

  2. Department of Software Technology, Delft University of Technology, Voorburg, Zuid-Holland, The Netherlands

    Jan Dietz

  3. Faculty of Exact Sciences and Engineering, University of Madeira, Funchal, Portugal

    David Aveiro

  4. Henley Business School, University of Reading, Reading, UK

    Kecheng Liu

  5. University of Coimbra, Coimbra, Portugal

    Jorge Bernardino

  6. Instituto Politecnico de Setúbal (IPS), Setúbal, Portugal

    Joaquim Filipe

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Raj, R., Wong, S.H.S., Beaumont, A.J. (2019). Empowering SMEs to Make Better Decisions with Business Intelligence: A Case Study. In: Fred, A., Dietz, J., Aveiro, D., Liu, K., Bernardino, J., Filipe, J. (eds) Knowledge Discovery, Knowledge Engineering and Knowledge Management. IC3K 2016. Communications in Computer and Information Science, vol 914. Springer, Cham. https://doi.org/10.1007/978-3-319-99701-8_15

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  • DOI: https://doi.org/10.1007/978-3-319-99701-8_15

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-99700-1

  • Online ISBN: 978-3-319-99701-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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