{"id":20367,"date":"2024-02-29T14:11:15","date_gmt":"2024-02-29T08:41:15","guid":{"rendered":"http:\/\/www.sachdevajk.in\/?p=20367"},"modified":"2024-02-29T14:11:15","modified_gmt":"2024-02-29T08:41:15","slug":"hr-analytics","status":"publish","type":"post","link":"http:\/\/www.sachdevajk.in\/?p=20367","title":{"rendered":"HR analytics"},"content":{"rendered":"

Topic: HR Analytics<\/span><\/p>\n

Author: Anushri Pappu<\/span><\/p>\n

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1.<\/span>Importance of Analytics in HR Management:<\/b><\/p>\n

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Nair, M. (2023) says that HR should be able to\u00a0 do\u00a0 better\u00a0 by\u00a0 starting\u00a0 with\u00a0 the\u00a0 fundamentals\u00a0 and\u00a0 then working up its way. This can be done through useful analytics. As HR departments become increasingly\u00a0 reliant\u00a0 on\u00a0 the\u00a0 numbers\u00a0 they\u00a0 produce\u00a0 and\u00a0 on\u00a0 advanced technologies,\u00a0 they\u00a0 will\u00a0 start\u00a0 experiencing\u00a0 the\u00a0 need\u00a0 for\u00a0 new\u00a0 skillsets. Also,\u00a0 the\u00a0 technological\u00a0 obstacles\u00a0 related\u00a0 to\u00a0 business\u00a0 data\u00a0 will\u00a0 have\u00a0 to\u00a0 be overcome\u00a0 for\u00a0 HRA\u00a0 to\u00a0 create\u00a0 an\u00a0 impact\u00a0 on\u00a0 HR\u00a0 practices,\u00a0 which\u00a0 would\u00a0 mean\u00a0 both organizational\u00a0 redesign\u00a0 as\u00a0 well\u00a0 as\u00a0 a\u00a0 cultural\u00a0 change\u00a0 at\u00a0 the\u00a0 same\u00a0 time<\/span><\/p>\n

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2.<\/span>Harmonizing HR Analytics: Addressing Legislative, Regulatory, Data Privacy Requirements, and Fraud Prevention.<\/b><\/p>\n

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Mittapally, B. (2023) saysthat incorporating fraud prevention measures into HR analytics strategies is crucial for organizations to proactively address fraudulent activities within HR processes. Organizations can detect and prevent fraud effectively by leveraging data-driven insights, enhancing internal controls, fostering collaboration, and promoting a culture of trust and accountability. This integration protects the organization\u2019s resources, ensures the integrity of HR processes, and cultivates a secure and ethical work environment. By harmonizing legislative, regulatory, data privacy requirements, and fraud prevention efforts, organizations can navigate the complexities of HR analytics while upholding ethical practices and compliance standards.<\/span><\/p>\n

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  1. Human Resources Analytics for Public Personnel Management<\/b>
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    \u00a0Cho, W., Choi, S., & Choi, H. (2023) This study is based on early observations with only anecdotal evidence available, as the use of HR analytics in the public sector is still in the early stages. This means that more research is needed to fully understand the nature and challenges of HR analytics in the public sector. Future research should aim to collect rich empirical evidence from different cases to assess the success factors of new technology adoption. This could include a variety of research methods such as case studies, surveys, and experiments. Additionally, it would be useful to consider a range of different public sector organizations to gain a more comprehensive understanding of the potential benefits and challenges of HR analytics in this context.<\/span><\/p>\n

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    1. Human Resource Analytics: Key to Digital Transformation.<\/b><\/li>\n<\/ol>\n


      <\/span>Anam, & Israrul Haque, M. (2022)\u00a0says that aligning the HR\u00a0 function\u00a0 activities\u00a0 with\u00a0 HR\u00a0 analytics\u00a0 can\u00a0 help\u00a0 it\u00a0 to\u00a0 perform transactional tasks quickly. Hence, HR leaders can effectively focus on their strategicactivities (Bhattacharyya, 2017). HR analytics will develop more in an ever-changingfield\u00a0 and\u00a0 business\u00a0 context\u00a0 if\u00a0 used\u00a0 and\u00a0 applied\u00a0 accurately.\u00a0 Although adopting\u00a0 HR analytics requires\u00a0 great\u00a0 effort,\u00a0 it\u00a0 can\u00a0 advance\u00a0 the\u00a0 profession\u00a0 of\u00a0 HR\u00a0 and\u00a0 be\u00a0 a win-win opportunity for the\u00a0 organization\u00a0 (Bassi,\u00a0 2011).\u00a0 Thus, HR analytics\u00a0 is\u00a0 essential for\u00a0 providing\u00a0 accurate\u00a0 and\u00a0 real-time\u00a0 information\u00a0 to\u00a0 have\u00a0 more\u00a0 power\u00a0 over competitors. This study is relevant in today\u2019s emerging era of data and analytics. The study provides different perspectives, essential\u00a0 to\u00a0 handling\u00a0 various\u00a0 organizations\u2019 challenges, especially the\u00a0 HR\u00a0 departments.\u00a0 The\u00a0 study\u00a0 shows\u00a0 practical\u00a0 solutions to\u00a0 the\u00a0 everyday\u00a0 problems\u00a0 faced\u00a0 by\u00a0 the\u00a0 organizations,\u00a0 such\u00a0 as\u00a0 high\u00a0 recruitment costs, talent management, declining sales, voluntary turnover, etc. Also, the study proves that adopting and using\u00a0 analytics\u00a0 would\u00a0 result\u00a0 in\u00a0 better\u00a0 performance overall.<\/span><\/p>\n

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      1. Turnover Analytics & Forecasting Hiring Demand: HR Domain<\/b><\/li>\n<\/ol>\n

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        Valluru, S. (2018) says In\u00a0\u00a0 this\u00a0\u00a0 study\u00a0\u00a0 we\u00a0\u00a0 presented\u00a0\u00a0 an\u00a0\u00a0 approach\u00a0\u00a0 to\u00a0\u00a0 predict\u00a0\u00a0 the employee turnover for the next quarter using machine learning technique Support Vector Machine (SVM). Along with SVM,we tried alternate classification model Random Forest (RF),SVM\u00a0 gave\u00a0 better\u00a0 results.\u00a0 By\u00a0 considering\u00a0 predicted\u00a0 attrition results\u00a0 as\u00a0 leading\u00a0 indicator,\u00a0 forecasted\u00a0 hiring\u00a0 demand\u00a0 using ARIMAX for the next quarter with reasonable accuracy. It helps human resources in predicting employee turnover in advance and provides reasonable time to identify alternate resources orto recruit new resources to avoid project execution problems.This\u00a0 model\u00a0 also\u00a0 helps\u00a0 human\u00a0 resources\u00a0 in\u00a0 recruitment\u00a0 by estimating the total number of resources required for specific skill,\u00a0 location\u00a0 and\u00a0 experience.\u00a0 This\u00a0 optimizes\u00a0 the\u00a0 resource demand\u00a0 and\u00a0 availability\u00a0 of\u00a0 readily\u00a0 deployable\u00a0 resource\u00a0 for\u00a0 smooth execution of business.<\/span><\/p>\n

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        1. 6<\/span>. Bridging the gap: why, how and when HR analytics can impact organizational performance.<\/b><\/li>\n<\/ol>\n

          McCartney, S., & Fu, N. (2022) says, HR analytics serves as a vital tool for organizations looking to enhance their performance by leveraging data-driven insights into human resources management. By analyzing data related to workforce demographics, performance metrics, recruitment, and employee engagement, HR professionals can make informed decisions that optimize talent acquisition, development, and retention strategies. Through the application of advanced analytics techniques, such as predictive modeling and machine learning, organizations can anticipate future trends and proactively address challenges. Integrating HR analytics into strategic decision-making processes enables organizations to align their human capital strategies with broader business objectives, ultimately driving productivity, efficiency, and organizational success. Therefore, by bridging the gap between data and decision-making, HR analytics emerges as a cornerstone for driving sustainable performance and competitiveness in today\u2019s dynamic business landscape.<\/span><\/p>\n

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          1. HR analytics is crucial for IT companies in Delhi NCR to:<\/b><\/li>\n<\/ol>\n

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            SINHA, D.; SINHA, S.; CHAUDHARY, U says that HR analytics is indispensable for IT companies operating in the dynamic market of Delhi NCR. By leveraging data-driven insights, organizations can optimize talent acquisition and retention strategies, bridge skills gaps, foster diversity and inclusion, enhance employee performance and productivity, and mitigate risks associated with attrition. Strategic workforce planning and predictive analytics enable companies to stay agile and adapt to changing market conditions, while continuous improvement initiatives ensure a culture of innovation and excellence. Ultimately, the integration of HR analytics across various aspects of human resource management is essential for driving organizational success, maintaining competitiveness, and achieving sustainable growth in the highly competitive IT sector of Delhi NCR.<\/span><\/p>\n

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            1. HR Analytics in the Commercial Aviation Sector: A Literature Review.<\/b>
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              de Brito, A. P., & Sousa, M. J. (2023) says HR analytics in the commercial aviation sector involves leveraging data-driven insights across various aspects of human resources management within airlines and related organizations. This includes talent acquisition, performance management, crew scheduling, training and development, workforce planning, and employee engagementThrough the systematic collection, processing, and analysis of data, airlines can optimize recruitment strategies, identify top performers, improve crew scheduling efficiency, tailor training programs, forecast workforce needs, and enhance employee satisfaction and retention. By making informed decisions based on data analysis, airlines can achieve operational excellence, improve safety standards, and ultimately deliver a superior passenger experience.In conclusion, HR analytics plays a crucial role in enabling airlines to strategically manage their human capital, drive efficiency, and maintain competitiveness in the dynamic commercial aviation industry.<\/span><\/p>\n

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              1. Can HRM predict mental health crises? Using HR analytics to unpack the link between employment and suicidal thoughts and behaviors.<\/b>
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                Hastuti, R., & Timming, A. R. (2023) says Human Resource Management (HRM) harnesses HR analytics to deeply analyze various data points within the workplace to identify potential indicators of mental health issues among employees. These data include patterns in absenteeism and leave, fluctuations in performance metrics, turnover rates, insights from employee surveys, and healthcare claims data related to mental health services. By examining these factors collectively, HR professionals can uncover trends and risk factors associated with mental health challenges in the workplace. This comprehensive approach enables organizations to implement targeted interventions and support mechanisms to promote employee well-being and mitigate the risk of mental health crises. However, it\u2019s imperative to approach the use of HR analytics in mental health with sensitivity, ensuring employee privacy, confidentiality, and ethical considerations. Additionally, HR analytics should complement personalized support and interventions, emphasizing the importance of a supportive work environment in fostering mental health resilience among employees.<\/span><\/p>\n

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                10.<\/span>Bringing HR and Finance together with Analytics<\/b><\/p>\n

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                Higgins, J. (2014) says Bringing HR and Finance together with analytics entails a multifaceted approach that involves integrating data sources, employing advanced analytics techniques, and aligning strategic initiatives. By combining datasets from HR and Finance departments, organizations can create a unified data infrastructure that facilitates comprehensive analysis. Leveraging tools such as predictive modeling, machine learning algorithms, and data visualization enables the extraction of actionable insights from integrated data sets. In conclusion, bringing HR and Finance together with analytics empowers organizations to make data-driven decisions that optimize resource allocation, enhance operational efficiency, and drive sustainable growth. By integrating technical capabilities with strategic vision, businesses can unlock the full potential of their human capital and financial resources to achieve long-term success in today\u2019s competitive landscape.<\/span><\/p>\n

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                Research summary:<\/b><\/p>\n

                The project \u201cEnhancing Organizational Performance through Integrated HR Analytics: A Multi-Sectoral Approach\u201d is an in-depth exploration of how HR Analytics can strategically impact various industries, such as Information Technology (IT) and commercial aviation. It begins with a thorough review of existing literature to understand the theoretical foundations and practical applications of HR Analytics. Through the analysis of real-world case studies from different sectors, the project examines how organizations utilize HR Analytics to optimize workforce management, enhance productivity, and drive business success.<\/span><\/p>\n

                Furthermore, the project employs advanced data analysis techniques to extract insights from HR and financial data sets. By integrating HR and financial analytics, organizations can gain a holistic understanding of their human capital investments and make data-driven decisions to allocate resources effectively. This integration enables organizations to align HR strategies with broader business objectives, maximize return on investment, and foster a culture of innovation and continuous improvement. One significant aspect of the project is its investigation into the predictive capabilities of HR Analytics in addressing mental health challenges in the workplace. By analyzing employee data and identifying early warning signs of stress, burnout, or other mental health issues, organizations can proactively implement interventions to support employee well-being and mitigate risks to organizational performance Overall, the project aims to provide actionable insights and recommendations for organizations seeking to leverage HR Analytics to enhance their competitiveness and success in today\u2019s rapidly evolving business landscape. By embracing data-driven decision-making and strategic integration of HR and financial analytics, organizations can unlock new opportunities for growth, innovation, and organizational excellence.<\/span><\/p>\n

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                References:<\/b><\/p>\n

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                Nair, M. (2023). Status and Importance of Analytics in HR Management: A Systematic Literature Review. IUP Journal of Management Research, 22(2), 28\u201348.<\/span><\/p>\n

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                Mittapally, B. (2023). Harmonizing HR Analytics: Addressing Legislative, Regulatory, Data Privacy Requirements, and Fraud Prevention. Workforce Solutions Review, 31\u201334.<\/span><\/p>\n

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                \u00a0Cho, W., Choi, S., & Choi, H. (2023). Human Resources Analytics for Public Personnel Management: Concepts, Cases, and Caveats. Administrative Sciences (2076-3387), 13(2), 41. https:\/\/doi.org\/10.3390\/admsci13020041<\/span><\/p>\n

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                Anam, & Israrul Haque, M. (2022). Human Resource Analytics: Key to Digital Transformation. IUP Journal of Management Research, 21(3), 38\u201354.<\/span><\/p>\n

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                \u00a0Valluru, S. (2018). Turnover Analytics & Forecasting Hiring Demand: HR Domain. International Journal of Business Insights & Transformation, 12(1), 3\u20135.<\/span><\/p>\n

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                McCartney, S., & Fu, N. (2022). Bridging the gap: why, how and when HR analytics can impact organizational performance. Management Decision, 60(13), 25\u201347. https:\/\/doi.org\/10.1108\/MD-12-2020-1581<\/span><\/p>\n

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                SINHA, D.; SINHA, S.; CHAUDHARY, U. Study of the Importance of HR Analytics in the IT Sector, Delhi-NCR. BVIMSR Journal of Management Research, [s. l.], v. 15, n. 1, p. 9\u201316, 2023. Dispon\u00edvel em: https:\/\/research.ebsco.com\/linkprocessor\/plink?id=5a938460-dd3e-36b1-a869-1f4f5552514c. Acesso em: 26 fev. 2024.<\/span><\/p>\n

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                de Brito, A. P., & Sousa, M. J. (2023). HR Analytics in the Commercial Aviation Sector: A Literature Review. Proceedings of the European Conference on Management, Leadership & Governance, 512\u2013519.<\/span><\/p>\n

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                Hastuti, R., & Timming, A. R. (2023). Can HRM predict mental health crises? Using HR analytics to unpack the link between employment and suicidal thoughts and behaviors. Personnel Review, 52(6), 1728\u20131746. https:\/\/doi.org\/10.1108\/PR-05-2021-0343<\/span><\/p>\n

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                Higgins, J. (2014). Bringing HR and Finance Together with Analytics. Workforce Solutions Review, 5(2), 11\u201313.<\/span><\/p>\n

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                \u00a0<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

                Topic: HR Analytics Author: Anushri Pappu \u00a0 1.Importance of Analytics in HR Management: \u00a0 Nair, M. (2023) says that HR should be able to\u00a0 do\u00a0 better\u00a0 by\u00a0 starting\u00a0 with\u00a0 the\u00a0 fundamentals\u00a0 and\u00a0 then working up its way. This can be done through useful analytics. As HR departments become increasingly\u00a0 reliant\u00a0 on\u00a0 the\u00a0 numbers\u00a0 they\u00a0 produce\u00a0… Continue reading HR analytics<\/span><\/a><\/p>\n","protected":false},"author":139338,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[41],"tags":[],"class_list":["post-20367","post","type-post","status-publish","format-standard","hentry","category-human-resource-management","entry"],"_links":{"self":[{"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=\/wp\/v2\/posts\/20367","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=\/wp\/v2\/users\/139338"}],"replies":[{"embeddable":true,"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=20367"}],"version-history":[{"count":1,"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=\/wp\/v2\/posts\/20367\/revisions"}],"predecessor-version":[{"id":20368,"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=\/wp\/v2\/posts\/20367\/revisions\/20368"}],"wp:attachment":[{"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=20367"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=20367"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=20367"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}