We developed an HR analytics dashboard for the recruitment agency to address each challenge.
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We established a centralized data pipeline to streamline huge amounts of recruitment data and began reporting and analyzing it in real-time.
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Our experts analyzed the data related to hiring KPIs as shared by the concerned stakeholders with us, such as cost per hire, quality of hire, candidate experience, and application completion rate. By using this data, HR teams were able to get quality hires, and also it took lesser time to recruit a candidate.
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The real-time reporting dashboard helped in monitoring the time it took to fill each position. It included key metrics such as average time to fill, time to fill by job type, and time to fill by department. This helped our client identify misses in the hiring process and take steps to reduce the time to fill.
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We implemented a candidate scoring system that uses machine learning algorithms to quickly identify and screen the best candidates for each position based on specific job requirements.
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We implemented a candidate scoring system that uses machine learning algorithms to quickly identify and screen the best candidates for each position based on specific job requirements.