• AKALYA.S
• MS S KAVITHA
• Dr.KAMALANABAN.E
• HARINIPRIYA V
• AKALYA S

An HR dashboard is an analytics tool that uses interactive data visualizations to display HR metrics, improve recruiting processes, and enhance employee performance. It helps in analyzing compensation, benefits, and workplace management. HR analytics can predict promotion chances and attrition rates using machine learning algorithms. It can significantly enhance HR leaders' decision-making on human and organizational capital, resulting in improved employee performance and an optimal return on investment. Integrating Power BI and Tableau into HR analytics facilitates comprehensive data visualization, enabling HR professionals to create interactive dashboards and reports. SQL comparison adds another layer of analysis by facilitating data consolidation, cleaning, and querying across disparate HR systems, ensuring data accuracy and consistency. The journey begins with an overview of HR analytics' historical development, highlighting the shift from traditional reporting to advanced predictive modeling and data-driven strategies. Integrating machine learning algorithms represents a significant milestone in leveraging HR data for competitive advantage and operational excellence.

Data Analytics, Data Visualization, Power BI, Tableau, Predictive analysis, Random Forest, Stochastic Gradient Booster, K-NN, Logistics Regression, Strategic Decision making.

"Exploring the evolution of human resource analytics and its impact on organizational performance", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 5, page no.f417-f424, May-2024, Available :http://www.jetir.org/papers/JETIR2405547.pdf

"Exploring the evolution of human resource analytics and its impact on organizational performance", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 5, page no. ppf417-f424, May-2024, Available at : http://www.jetir.org/papers/JETIR2405547.pdf