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@article{198850,
        author = {Chetna Ganesh Salode and Nitin Prakash},
        title = {A Study on HR Analytics in Workforce Planning andDecision Making at Aditya Birla Sun Life Insurance,Nagpur},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {10104-10112},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=198850},
        abstract = {In the modern business world, organizations are gradually moving to the data-driven form of management to improve efficiency and strategic performance. Human Resource (HR) Analytics has become a significant tool and it helps organizations to redesign the conventional HR practices into evidence-based decision-making systems. This paper aims at examining the functions of HR Analytics in the workforce planning and decision-making at Aditya Birla Sun Life Insurance, Nagpur. The main aim of this study is to learn how HR analytics can be used to predict the workforce demand, manage talent better, and enhance the performance of an organization. Predictive and prescriptive analytics are improving workforce planning, which had typically been based on managerial experience and past experiences and enable organizations to forecast future workforce trends and align them with business objectives. This paper takes a theoretical and critical position; secondary data as in academic journals, industry reports, and previous research studies are used. It looks at the main features of HR analytics including employee data handling, predictive modeling, analysis of performance and forecasting attrition. The study outlines the benefits of these tools in determining skills deficiencies, enhancing the employee recruitment process, increasing employee engagement, and mitigating workforce- related risks. The results of the research are that HR analytics is a key factor that enhances the quality and efficiency of workforce planning. It helps organizations to make wise decisions, reduce uncertainty, and have organizations and human resources more aligned. Also, HR analytics helps achieve a higher level of productivity, cost efficiency and competitive advantage. The research concludes that advanced HR analytics practices can help organizations such as Aditya Birla Sun Life Insurance to gain a lot. The application of data analytics to HR processes allows companies to become more effective in decision-making and creates a more future-oriented and agile workforce.},
        keywords = {HR Analytics, Workforce Planning, Data-Driven Decision Making, Predictive Analytics, Employee Performance, Talent Management.},
        month = {April},
        }