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People Analytics and HR-Tech Reading List

Littal Shemer

I find here inspiration, blended with practical guidance and validation for my practices, mixed with new ideas and innovative tools, but most of all, an “open door” to a professional community , which I’m happy and honored to be a part of it. Browse and read this book sample today, and offer your feedback.

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How do HR systems differ in small and large firms?

cipHR

Finding out how HR systems differ in small and large firms will help you decide which features you may – or may not – need in your next HR software Are there regular payroll errors at your workplace? Then it’s time to get a new HR system.

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23 Human Resources Director Interview Questions To Prepare For

Analytics in HR

The interview for the role of HR Director will be comprehensive. Interviewers will be looking to assess your abilities, experience, and cultural fit for their organization. Technical and industry-specific questions: You’ll likely be tested on your industry knowledge and familiarity with HR tools and practices.

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21 HR Books Every HR Professional Should Read in 2024

Analytics in HR

Ulrich and colleagues list the key competencies of the modern HR professional. The HR professional should enable capability building, be a technology proponent, be a change champion, and be an HR innovator and integrator. That’s what this book is all about. However, it’s impossible to always be at peak performance.

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Data Literacy in HR: Definition, Measure, and Impact

Littal Shemer

Are the data literacy assessment tools valid to measure such capabilities among HR? Should we strive for a new and unique definition of data literacy to enhance such skills among HR professionals? The discussion about data literacy is relatively new in the context of the HR function in organizations.

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Addressing bias and privacy challenges when using AI in HR

Workable

Try it out Here, we discuss bias and privacy as dual challenges of AI in HR and how we can address these issues. Understanding the challenges Bias in AI AI systems learn from historical data. On another level, in the workplace, AI systems can monitor employee performance and predict future behaviors.