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The Challenges of Data Analytics Implementations: A Preliminary Literature Review

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Proceedings of International Conference on Data Science and Applications

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 288))

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Abstract

Data analytics projects have brought countless benefits and solutions to the world. As a result, many organizations have attempted to adopt data analytics in order to reap the benefits of these implementations and move forward with projects that involve big data or data science. However, research has shown that more than 50% of these projects fail—either due to incomplete projects or lacking expected business value. Data analytics is often perceived as a complex concept due to the focus on big data, which is characterized by large, disaggregated volumes of data, velocity, and the variety of data (to name a few). The objective of this study was to identify the challenges associated with data analytics projects being implemented. The contribution lies in the fact that, if organizations can identify potential challenges, precautions can be made to diminish the chance of possible pitfalls, therefore improving chances of successful project implementation. A Systematic Literature Review was done in order to identify academic publications relating to selected search terms, followed by a thematic analysis on the search results to identify challenges associated with data analytics projects. The major, most prevalent challenges identified included poor data quality, lack of management support, and miscommunication.

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Authors and Affiliations

  1. Department of Informatics, University of Pretoria, Hatfield, Pretoria, South Africa

    Milica Milicevic & Sunet Eybers

Authors
  1. Milica Milicevic
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  2. Sunet Eybers
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Corresponding author

Correspondence to Sunet Eybers .

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Editors and Affiliations

  1. Computer Science and Engineering and Information Technology, Jaypee Institute of Information Technology, Noida, Uttar Pradesh, India

    Mukesh Saraswat

  2. Department of Computer Science and Engineering, Jadavpur University, Kolkata, West Bengal, India

    Sarbani Roy

  3. Department of Computer Science and Engineering, Jadavpur University, Kolkata, West Bengal, India

    Chandreyee Chowdhury

  4. Faculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, NSW, Australia

    Amir H. Gandomi

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Milicevic, M., Eybers, S. (2022). The Challenges of Data Analytics Implementations: A Preliminary Literature Review. In: Saraswat, M., Roy, S., Chowdhury, C., Gandomi, A.H. (eds) Proceedings of International Conference on Data Science and Applications . Lecture Notes in Networks and Systems, vol 288. Springer, Singapore. https://doi.org/10.1007/978-981-16-5120-5_3

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