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Creating Values for Big Data Analytics through Business and Technology Alignment

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Advances in Visual Informatics (IVIC 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14322))

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Abstract

Meaningful insights are the most important outcome of a big data analytics project (BDA). As the BDA project has been widely used to facilitate business decisions, many organizations focus on gaining valuable insights into their business performance, especially as one of the determining factors for organizations to outrun their competitors in the industry. The research from the current literature found that there needs to be more technical consideration for the valuable measure of business performance based only on the business perspective rather than considering the advanced technological perspective: big data analytics. On the other hand, the technical point of view is focused more on data than realizing real business needs. Hence, this research aims to introduce, identify, or develop know-how map** between business and technical points of view for valuable insights. So then, the BDA can work on understanding what the business would want and aligning it with what the data could provide. With that, the first step is to identify elements and define the definitions of the valuable insights. Second, this research will serve as a how-knowledge guideline for business analytics in achieving valuable insights. This research is intended to shed light and clarify valuable insights from business and technical points of view while develo** any BDA project in the business organization.

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Authors and Affiliations

  1. Faculty Technology and Informatics Razak, Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia

    Luen Mun Chong, Suraya Yaacob, Wan Farahwani Wan Fakhruddin & Nur Azaliah Abu Bakar

Authors
  1. Luen Mun Chong
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  2. Suraya Yaacob
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  3. Wan Farahwani Wan Fakhruddin
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  4. Nur Azaliah Abu Bakar
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Corresponding author

Correspondence to Luen Mun Chong .

Editor information

Editors and Affiliations

  1. Universiti Tenaga Nasional, Kajang, Selangor, Malaysia

    Halimah Badioze Zaman

  2. University of Cambridge, Cambridge, UK

    Peter Robinson

  3. Dublin City University, Dublin, Ireland

    Alan F. Smeaton

  4. MIT Sloan School of Management, Asia School of Business, Cambridge, MA, USA

    Renato Lima De Oliveira

  5. University of Southern Denmark, Odense, Denmark

    Bo Nørregaard Jørgensen

  6. National Central University, Jhongli, Taiwan

    Timothy K. Shih

  7. Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia

    Rabiah Abdul Kadir

  8. Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia

    Ummul Hanan Mohamad

  9. Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia

    Mohammad Nazir Ahmad

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© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Chong, L.M., Yaacob, S., Fakhruddin, W.F.W., Bakar, N.A.A. (2024). Creating Values for Big Data Analytics through Business and Technology Alignment. In: Badioze Zaman, H., et al. Advances in Visual Informatics. IVIC 2023. Lecture Notes in Computer Science, vol 14322. Springer, Singapore. https://doi.org/10.1007/978-981-99-7339-2_31

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  • DOI: https://doi.org/10.1007/978-981-99-7339-2_31

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-7338-5

  • Online ISBN: 978-981-99-7339-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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