Bringing Light to Dark Data: A Framework for Unlocking Hidden Business Value

Authors

  • Dr. A. Shaji George Independent Researcher, Chennai, Tamil Nadu, India
  • Dr. V. Sujatha Principal & Professor, Department of Electronics and Communication Engineering, Shree Sathyam College of Engineering and Technology, Sankari Taluk, Salem District, Tamil Nadu, India.
  • A. S. Hovan George Independent Researcher, Chennai, Tamil Nadu, India
  • Dr. T. Baskar Professor, Department of Physics, Shree Sathyam College of Engineering and Technology, Sankari Taluk, Salem District, Tamil Nadu, India

DOI:

https://doi.org/10.5281/zenodo.8262384

Keywords:

Dark Data, Data Lakes, Data Discovery, Data Mapping, Metadata, Data Analytics, Machine Learning, Data Governance, Data Privacy, Information Management

Abstract

Dark data refers to the information assets organizations collect, process, and store during regular business activities, but generally fail to use for deeper analytics or decision making. Industry research indicates over 90% of an organization's data may go unused—a massive lost opportunity. This research paper establishes an urgent need for companies to unlock dark data's hidden value and provides a practical framework to illuminate these overlooked information stores. The paper reviews how data becomes "darkened," including irrelevant or obsolete data, formatting issues, and the high costs of processing/analysis. Consequences encompass missed revenue opportunities, plus security and compliance risks from retaining sensitive data. Tapping into dark data represents a competitive advantage if done successfully. The paper recommends emerging techniques like artificial intelligence, machine learning, and dark analytics to derive insights from dark data. But technology alone will not suffice. Organizations need holistic strategies for discovering dark data, mapping its contents, developing policies for retention and destruction, building required data science skills, and integrating dark data analytics into business processes. The research paper's Dark Data Framework provides concrete components organizations can implement to shine a light on this underutilized asset. Recommended tactics include data minimization to delete unnecessary stores, as well as data mapping to locate and catalog dark data. Skills development in areas like machine learning and analytics will also prove critical. With rigorous measurement and demonstration of hard dollar returns plus risk reduction, companies can justify necessary investments. The paper concludes that organizations must act now on their dark data, or risk competitors capitalizing first on this trove of overlooked insights. By following the presented framework, companies can expect enhanced decision making, new revenue opportunities, improved productivity, and minimized security vulnerabilities. Unlocking dark data will empower organizations to excel in the modern data-driven economy. The time to embrace dark data is now.

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Published

2023-08-25

How to Cite

Dr. A. Shaji George, Dr. V. Sujatha, A. S. Hovan George, & Dr. T. Baskar. (2023). Bringing Light to Dark Data: A Framework for Unlocking Hidden Business Value. Partners Universal International Innovation Journal, 1(4), 35–60. https://doi.org/10.5281/zenodo.8262384

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Section

Articles