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What are the main types of big data analytics tools that can be used for managing remote employees?

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Big data analytics tools play a crucial role in managing remote employees effectively. These tools include statistical and computational intelligence tools like principal component analysis, clustering, fuzzy logic, neuro-computing, evolutionary computation, Bayesian networks, data mining, pattern recognition, and deep learning . Additionally, systems can be developed to monitor employees' activities, log application usage, and calculate productivity through face recognition authentication . Furthermore, remote intelligent health and safety monitoring systems can provide data support for door-to-door care or rescue, incorporating various monitoring subsystems like light usage, water leakage, gas leakage, blood pressure, temperature, and more . By utilizing these tools and systems, employers can ensure efficient management of remote employees while respecting their privacy and enhancing productivity.

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Papers (4)	Insight
Book Chapter•DOI Using M365 To Be an Effective Executive with Remote Workers ภาณุพันธุ์ วัณณกุล 01 Jan 2022	Not addressed in the paper.
Journal Article•DOI Remote Employee Monitoring and Management Trần Mạnh Hà 01 Jan 2022-Smart Innovation, Systems and Technologies	The paper focuses on developing a system for remote employee monitoring using a face recognition system, tracking app usage, and calculating productivity, without specifying big data analytics tools.
Proceedings Article•DOI Big Data Analytics Tools: Twitter API and Spark Sabah M. Alzahrani 30 Mar 2021 2 Citations	Not addressed in the paper.
Patent Remote intelligent health and safety monitoring big data based management system Zhou Yingjin 23 Aug 2019	Not addressed in the paper.

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