Jello,
Are you drowning in data?
This paper argues that the Big Data era, while promising amazing insights, is also creating a monster of information overload.
Prepare to learn about the challenges and how technology can help!
What is it?
The chapter explores the key characteristics of the Big Data era, its drivers, and consequences.
It analyzes information overload in this context, examining its psychological and practical implications.
It also investigates strategies and technologies for mitigating information overload, including data filtering, information visualization, and intelligent systems.
Key Findings:
Big Data is characterized by Volume, Velocity, Variety, Veracity, Value, and Valence.
Information overload can lead to decision fatigue, reduced productivity, and anxiety.
Effective mitigation strategies involve data filtering, prioritization, and visualization.
AI and ML-based tools can automate and enhance data management, helping organizations derive meaningful insights and make informed decisions.
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What do I need to know:
Big Data presents both opportunities and challenges.
Information overload is a real issue that can affect productivity and well-being.
By implementing effective data management strategies and using appropriate technologies, organizations can harness the power of Big Data while mitigating the risks of information overload.
Source:
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5209835