FROM INFORMATION OVERLOAD TO ACTIONABLE INTELLIGENCE: NAVIGATING BIG DATA CHALLENGES

Authors

  • Mason Scott Cognitive Psychologist, Cognitive Robotics Institute, Amsterdam, Netherlands Author
  • Abigail Reed Robotics Engineer, RoboTech Solutions, Seoul, South Korea Author

Keywords:

Information Overload, Data Sources

Abstract

In an era characterized by an unprecedented deluge of data, organizations face the daunting task of transitioning from information overload to actionable intelligence. This research paper investigates the multifaceted challenges inherent in the realm of Big Data and explores strategies for transforming vast datasets into meaningful insights that drive informed decision-making. The paper begins by delineating the landscape of information overload, elucidating the complexities arising from the volume, velocity, and variety of data. It highlights the hurdles posed by disparate data sources, unstructured formats, and the need for scalable infrastructure to process and analyze data in real-time. The paper also addresses ethical considerations associated with Big Data, emphasizing the need for responsible data governance, privacy protection, and transparency in the era of heightened data awareness. By understanding and overcoming these challenges, businesses can unlock the true potential of their data, transforming it into actionable intelligence that shapes strategic decisions and propels innovation in an ever-evolving digital landscape.

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Published

03-07-2022

How to Cite

Mason Scott, and Abigail Reed. “FROM INFORMATION OVERLOAD TO ACTIONABLE INTELLIGENCE: NAVIGATING BIG DATA CHALLENGES”. Asian Journal of Multidisciplinary Research & Review, vol. 3, no. 4, July 2022, pp. 185-93, https://ajmrr.org/journal/article/view/76.

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