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@article{196336,
        author = {Prof. Farook Ahmed Shaikh},
        title = {Human Resources Analytics: Obstacles and Prospects for Enterprises},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {2860-2865},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=196336},
        abstract = {Today, it is essential to adopt a new strategy that enables the HR function to make informed decisions. Research indicates that Human Resources (HR) analytics could become an integral part of HR managers' routines. The purpose of HR analytics is to facilitate decision-making through robust statistical and econometric tools that allow for the cross-referencing of a vast array of data and variables. Analyzing historical data can guide us in making sound decisions for the future. Analytics fundamentally represents a methodology, a systematic approach that is inherently quantitative, utilizing data analysis techniques. This study aims to offer a thorough classification of literature concerning human resources analytics, complete with an extensive bibliography and a proposed research agenda for the future. To accomplish this, a systematic literature review methodology was employed, relying on a database of numerous articles and books published in prominent journals from 2013 to 2021. The findings of this analysis encapsulate the key advancements in human resources analytics research. Notable discoveries, as well as deficiencies in current studies, are also emphasized. This research has the potential to inspire future research trajectories.},
        keywords = {Human Resources, Data Analysis, HR Reporting, Large Scale Data.},
        month = {April},
        }