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People Analytics and HR-Tech Reading List

Littal Shemer

This list of People Analytics and HR-Tech books is not exceptional. So here is my People Analytics and HR-Tech reading list on Kindle (no paper books, as I like the trees), ordered chronologically from newest to oldest. People Analytics – Build the Value Chain This book, by Littal Shemer Haim , is not a typical textbook.

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Forecasting in R: a People Analytics Tool

Analytics in HR

We will specifically examine how forecasting models can be deployed in R and end with an example analysis on the rise in popularity of the term “people analytics” The goal is to know what’s coming…. These examples represent the highly popular realm of “Predictive Analytics”. Predictions come in different shapes and sizes.

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Deconstruct to Reconstruct: How Providence Health System Built an Internal Talent Marketplace (i4cp login required)

i4cp

doubling in the past decade from 40,000 in 2010 to an estimated 80,000 in 2020, due in part to a significant segment of the nursing workforce being close to or nearing retirement age. Then came COVID-19, which only served to exacerbate the existing strain on the healthcare talent landscape.

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Forget the Catchy Headlines – It Is Time for HR Leaders to Get Serious About Workforce Planning

CCI Consulting

a 28% quit rate in 2001 and 2010, following the 2000-2001 and 2008-2009 recessions). In fact, the first year of the pandemic (2020) was the outlier, as there was a pause in the quit rate as people endured lockdown procedures. Develop Talent Strategies : This is the bread and butter of HR work.

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Talent Management Models for HR in 2020

CuteHR

To maximize return on investment in talent management, organizations need to look at the talent in a holistic, end-to-end way, and be able to connect the dots across the talent pools, particularly for critical roles. Analytics, based on the now and the future, must be integrated throughout.” Talent Development.

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Learning Academies 101: Everything You Need to Know

Degreed

1: The ever-widening skills gap and talent crisis. Even before the disruption by generative AI, the World Economic Forum in 2020 predicted that by 2025 the unrelenting pace of technology will displace 85 million jobs, create 97 million jobs, and require half of all employees to reskill. Problem No. Just how far off is the alignment?