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Currently, human resource managers play a critical role in managing a companyu2019s most valuable asset u2013 its employees u2013 and providing insights to upper management. However, with the advent of technology, the role of HR leaders has not only changed but also gained a fresh perspective. Traditionally, HRu2019s focus has been limited to descriptive and diagnostic activities, such as managing employee records, hiring and firing, and addressing workplace conflicts. But with changing tides, the role of HR leaders has evolved to become more predictive and prescriptive.<br>Read more @ https://hrtechcube.com/how
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How Can Data Analytics Boost Human Resource Management Data analytics have transformed human resource management. Discover why it's essential for companies to use HR metrics and analytics to make informed decisions.
The essence of any successful business lies in recognizing the pivotal role of its people. It’s no longer a new concept, and an anonymous industrialist has very well said, “A company’s success is directly proportional to the investment it makes in its employees.” The industrialist was speaking from a gut perspective Tip: Use links to go to a different page inside your presentation. How: Highlight text, click on the link symbol on the toolbar, and select the page in your presentation you want to connect.
Currently, human resource managers play a critical role in managing a company’s most valuable asset – its employees – and providing insights to upper management. However, with the advent of technology, the role of HR leaders has not only changed but also gained a fresh perspective
1.Evaluating Employee Performance Traditional performance evaluations are often based on simplistic metrics like gross sales numbers, which can overlook important factors like mentorship or relationship-building skills. By applying data analytics to the process of evaluating employee performance, HR can identify trends and factors that might otherwise go unnoticed, leading to more accurate and effective performance evaluations.
2. Determining Raises and Promotions Using data analytics to determine appropriate pay raises and promotions can help prevent valued workers from slipping through the cracks. By analyzing performance-based data, HR can ensure that workers are being compensated fairly and recognized for their contributions to the organization, which can increase employee loyalty and performance.
3. Controlling Attrition, Increasing Retention By examining data on employee engagement and satisfaction, HR can identify patterns that might be leading to high levels of employee turnover. By addressing underlying issues and improving employee engagement and satisfaction, HR can reduce attrition rates and increase retention, which can save the organization money and improve morale.
4. Evaluating Employee Engagement: Engaged employees tend to be more excited about their job and perform better than average, and they are less likely to look for new career opportunities outside the company.
5. Measuring Individual and Group Development: Data analytics can be used to measure the growth and development of individuals and departments, particularly in training programs. By using hypothetical situations and AI technology to customize training programs based on employee feedback, HR can improve employee skills and knowledge, leading to increased productivity and job satisfaction.
