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Navigating DEI Rollbacks: How People Analytics Can Sustain Inclusive Workplaces

Hire Road

Navigating DEI Rollbacks: How People Analytics Can Sustain Inclusive Workplaces The current socio-political landscape is a tough one for companies to navigate. Discover what you need to know about using people analytics to maintain momentum in your DEI efforts in the midst of global uncertainty.

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How To Create a Strong HR Generalist Resume [Examples + Templates]

AIHR

You could highlight your experience in those areas by including a line like: “Led initiatives that improved employee engagement by 15% and utilized data analytics to optimize retention strategies.” HR software, analytics) and soft skills (e.g., HR software, analytics) and soft skills (e.g.,

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DE&I leaders share how they believe a Trump presidency will impact the future of diversity initiatives

HR Brew

And what we saw after the 2016 election was a need to focus on rebuilding trust and empathy in the workplace, in a polarizing political landscape. The potential for a contraction concerns Sarah Everhart, a people analytics analyst. “As That need is even stronger now. As an individual, I’m terrified.

Diversity 365
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HR Tech Trends to Watch in 2016

HRExecutive

Case-in-point: Contrast the take-up of mobile HR technology with that of predictive HCM or people analytics. the ability to properly interpret and analyze data and build related frameworks in the case of people analytics adoption; and ability to expertly market a “case for change” if an HR transformation effort is in order.

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Technology Is Changing Human Resource Management – But Where Will It Go?

Hppy

Machine learning is automated data analysis through algorithms that automatically create analytical models. Find out how you can use people analytics to predict, manage and measure the impact of HR operations by downloading our new white paper. Advanced Machine Learning. Autonomous Agents and Things. What will be next?

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The Art, Science and Impact of Implementing Data-Driven HR in 2017

Cornerstone On Demand

According to Deloitte’s 2016 Global Human Capital Trends report , 77 percent of companies believe that using “people analytics” is important, but the capabilities are lacking. HR professionals are generally very good at reporting and benchmarking, but not as good at more sophisticated analytics.

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Fact or Hype: Validating Predictive People Analytics and Machine Learning

Visier

The 2016 Conference Board Survey of CEOs found that “Human Capital” is the CEOs number one global business challenge – for the fourth year in a row. Why Building Predictive Workforce Analytics is Challenging. Overall, the biggest challenge is that most predictive analytics capabilities available today are in their infancy.