What is dark data?
- 0.5
- 1
- 1.25
- 1.5
- 1.75
- 2
DESCRIPTION
This episode of Techsplainers explores dark data - the information assets organizations accumulate but fail to use for analytics or business purposes. We examine how prevalent this issue is, with surveys showing 60% of organizations reporting half or more of their data remains unused. The discussion covers why dark data accumulates (inexpensive storage, "just in case" mentality), the various causes (lack of awareness, data silos, poor governance), and the three types of dark data (structured, unstructured, and semi-structured.) We also detail the substantial costs beyond storage, including liability, missed opportunities, inefficiency, and risks. The episode concludes with practical strategies for managing dark data through improved data governance, breaking down silos, and leveraging AI/ML tools to uncover valuable insights from previously hidden information.
Find more information at https://www.ibm.biz/techsplainers-podcast
Narrated by Mimi Sun Longo







