Artificial Intelligence and Big Data Optimizing Scalable HR Analytics for Talent Acquisition and Retention

Abstract

Retaining and attracting the best talent is increasingly becoming a challenge to organisations in the modern fast changing business environment. A way to optimise the use of talent acquisition and retention strategies is to harness the transformative power of introducing Artificial Intelligence (AI) and big data into the Human Resource (HR) management practice. To enhance the HR analytics architecture to accommodate the employee lifecycle of decision-making, this paper proposes a scalable HR analytics architecture to utilize AI and Big Data. The structure assists business to identify high potential recruits, reduces the recruitment duration, and better predicts employee turnover through predictive analytics, machine learning, and real-time data processing. It also facilitates career and personalised employee engagement programs, which increase organisational commitment and job satisfaction. The structure has been designed in a way that it can be scaled to the needs of different organisations in terms of size and can also be flexible to adapt across industries. We show how this concept can be useful in retention rate increase and recruitment efficiency using a case-based approach. Ethical concerns and the problem of data protection are also discussed to ensure proper use of AI. Ultimately, this paper focuses on the strategic usefulness of AI-based HR analytics in developing a data-wise, resilient workforce and ensuring competitive advantage in the digital age.

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