Big Data Analytics, Artificial Intelligence, Machine Learning, Internet of Things, and Blockchain for Enhanced Business Intelligence

Authors

  • Mallikarjuna Paramesha Construction Management, California State University, Fresno, USA
  • Nitin Liladhar Rane University of Mumbai, Mumbai, India
  • Jayesh Rane University of Mumbai, Mumbai, India

DOI:

https://doi.org/10.5281/zenodo.12827323

Keywords:

Business, Data Analytics, Big Data Analytics, Artificial Intelligence, Internet of Things, Machine Learning

Abstract

During the fast progress of digital technologies, business intelligence (BI) has experienced a significant change, leading to new chances for making data-informed decisions and gaining strategic insights. Businesses are currently producing large amounts of data from various origins, requiring sophisticated analytics to obtain valuable insights. The merging of Big Data, Artificial Intelligence (AI), and the Internet of Things (IoT) has emerged as a crucial factor, boosting operational effectiveness and competitive edge. This study investigates how the combination of Big Data, AI, and IoT in BI improves data analytics and decision-making processes. A thorough examination of the literature and analysis of keyword co-occurrence and cluster reveal important concepts and their connections within the subject area. Big Data analytics reveals concealed patterns and trends, AI offers advanced predictive algorithms, and IoT supplies immediate data from interconnected devices, enhancing the detail and timeliness of insights. We suggest a thorough structure for combining these technologies to enhance BI capabilities. This structure includes gathering information from IoT devices, handling it with Big Data technologies, and utilizing AI for examination. Edge computing decreases latency for immediate decision-making, while blockchain guarantees the confidentiality and accuracy of data. The insights are utilized by the application layer to power BI applications such as dynamic dashboards and automated workflows. The research has made contributions by pinpointing central themes in the field, illustrating connections between important ideas, and creating a comprehensive framework to improve BI. By making use of these cutting-edge technologies, companies can acquire a more profound understanding, forecast future results, and establish more effective procedures. This method helps organizations maneuver through the challenges of today's data environment, preparing them for long-term development and achievement in a world that relies heavily on data. As technology advances, incorporating Big Data, AI, and IoT will enhance BI's abilities, creating fresh possibilities for innovation and a competitive edge.

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Published

2024-07-25

How to Cite

Mallikarjuna Paramesha, Nitin Liladhar Rane, & Jayesh Rane. (2024). Big Data Analytics, Artificial Intelligence, Machine Learning, Internet of Things, and Blockchain for Enhanced Business Intelligence . Partners Universal Multidisciplinary Research Journal, 1(2), 110–133. https://doi.org/10.5281/zenodo.12827323

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Section

Articles