• Prof. V . LALITHA

This research was conducted to shed light on the fact that big data in HR analytics could not always result in the most efficient HR solutions. By "big data," It also provides a summary of key points discussed in the HR analytics literature. With the use of evidences found in the current literature, a qualitative method has been used to illustrate the facts about HR analytics. In addition to secondary sources, the author relied on their own instincts while developing their arguments and the underlying conceptual model. Strategic choices, particularly those involving HR matters, need the data-driven conclusions that emerge HR solutions, it is often necessary to make adjustments to account for factors such as the organization's financial stability, the state of the business environment, the actions of competing businesses, the company's business strategy, the skills of employees and managers, and so on. High levels of originality may be attributed to the paucity of similar studies in the existing literature. When it comes to HR strategic decisions, can businesses always rely on the findings of HR big data analyses and Artificial Intelligence. Human resource analytics is a new discipline that is gaining a lot of interest in both the business and academic worlds. This article gives an overview of HRM's impending HR analytics special issue. We talk about the challenges and possible political sensitivities that practitioners face when trying to publish "inside company" HR analytics initiatives. We also think about the rising understanding that companies pursuing HR analytics initiatives face a number of ethical problems.

HR Data Mining, Human Resource Management, Long-Term Success, and Organizational Advantage.

"An Systematic Review on Artificial Intelligence Powered Conceptual Framework for Human Resource Analytics", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 7, page no.e110-e122, July-2023, Available :http://www.jetir.org/papers/JETIR2307412.pdf

"An Systematic Review on Artificial Intelligence Powered Conceptual Framework for Human Resource Analytics", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 7, page no. ppe110-e122, July-2023, Available at : http://www.jetir.org/papers/JETIR2307412.pdf