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Cynet Systems: Ready to Leverage Mileage from Human Resource Analytics?
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Reference: IVEY-W31026-E
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Year: 2021
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Number of pages: 9
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Geographic Setting: India; United States
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Publication Date: Oct 11, 2023
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Source: Ivey Business School (Canada)
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Type of Document: Case
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Industry Setting: Professional, Scientific, and Technical Services
Description
Cynet Systems Private Limited (Cynet) was a subsidiary of Cynet Corporation, a technology services firm providing staffing support for US clients. The Cynet team in India was based in smaller Indian cities such as Karnal and Dehradun. When a lockdown was announced in early March 2020 to curb the spread of COVID-19 in the country, the recruiters working for Cynet had to shift to remote work. This was a dramatic shift for the young recruiters, most of whom were recent college graduates. The onus of ensuring the client deliverable was met was on Shyam Sharma, the team leader at Cynet. At that time, the company created a centralized data reporting team, and in December 2021 the organization was still looking to enhance an analytics dashboard to better predict employee performance; further analytical insights would allow Cynet's top management to make better predictive outcomes versus what was currently being measured to evaluate performance.
Learning Objective
The case is designed for undergraduate, graduate, and postgraduate management students in regular and executive education programs, where it is suitable for human resources management, talent management, and human resources analytics courses. After working through the case and assignment questions, students will be able to do the following:Analyze how organizations must develop an integrated data-driven approach while managing performance, including building predictive analytical outputs. Understand whether organizations have sufficient information captured to drive performance and the right structures in place to build a predictive analytical output. Analyze data to determine the effectiveness of analytical outcomes stakeholders use to make decisions.