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Big Data Analytics in Business Process: Insights and Implications

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Artificial Intelligence, Data Science and Applications (ICAISE 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 837))

Abstract

The study explores the role of big data analytics (BDA) in business process by presenting a comprehensive review of listed literature on Scopus database. 1122 studies are analyzed keyword-wise to identify the trend and future scope of BDA in business process. The study suggests that none of business process aspects are untouched by big data analytics. From planning to execution, manufacturing to customer satisfaction, costing to performance management and corporate governance to public relation, all aspect of business process has employed big data analytics tools in one way or other. BDA has also admitted its presence in different business domain like supply chain, service-industry, industry 4.0 and sustainable business practices. Internet of Things (IoT), Artificial Intelligence (AI), Deep learning, Decision support system, Neural network, Predictive analysis, Cloud computing and Machine learning are mostly used big data analytics tools. Keyword analysis also provide insights of currently researched topics and future scope for under researched topics.

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Author information

Authors and Affiliations

  1. Jindal Global Business School, O. P. Jindal Global University, Sonipat, India

    Swati Sharma & Swati Sharma

Authors
  1. Swati Sharma
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Correspondence to Swati Sharma .

Editor information

Editors and Affiliations

  1. Department of Computer Science, Moulay Ismail University, Errachidia, Morocco

    Yousef Farhaoui

  2. Centre of AI and Robotics, Napier University, Edinburgh, UK

    Amir Hussain

  3. Prince Sultan University, Riyadh, Saudi Arabia

    Tanzila Saba

  4. University Canada West, Vancouver, Canada

    Hamed Taherdoost

  5. Institute of Science, Banaras Hindu University, Varanasi, India

    Anshul Verma

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© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Sharma, S. (2024). Big Data Analytics in Business Process: Insights and Implications. In: Farhaoui, Y., Hussain, A., Saba, T., Taherdoost, H., Verma, A. (eds) Artificial Intelligence, Data Science and Applications. ICAISE 2023. Lecture Notes in Networks and Systems, vol 837. Springer, Cham. https://doi.org/10.1007/978-3-031-48465-0_15

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