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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. (Reading Time: 26 minutes) Let’s face it. Click titles for Kindle versions (Work in progress.

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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). This article was written in 1994 by HR Magazine. Well, this was the same case when HR Leadership Magazine released this article in 1995. Why does this matter and why should HR leaders be concerned? more retirements than normal. 

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New Bureau of Labor Statistics (BLS) Data – What does it mean for HR? (i4cp login required)

i4cp

By historical standards, is it enough for HR and business leaders to take the foot off the pedal when it comes to the war for talent? So, what does this mean for HR leaders' priorities in 2024 regarding talent sourcing, attrition and retention, upskilling/reskilling, and more? million more job openings than any month from 2001 to 2020.

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New Bureau of Labor Statistics (BLS) Data – What does it mean for HR? (i4cp login required)

i4cp

By historical standards, is it enough for HR and business leaders to take the foot off the pedal when it comes to the war for talent? So, what does this mean for HR leaders' priorities in 2024 regarding talent sourcing, attrition and retention, upskilling/reskilling, and more? million more job openings than any month from 2001 to 2020.

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The evolution of the dataset – why it’s not just about the algorithm

Hireability

How is this relevant in the HR tech space? Semantic matching, available from a number of firms, is a sophisticated algorithm (or algorithms) for identifying relevant competencies (along with other parameters) to identify the needle in the haystack of data. But it has come a long way since our earliest parsing efforts in 2001.

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The evolution of the dataset – why it’s not just about the algorithm

Hireability

How is this relevant in the HR tech space? Semantic matching, available from a number of firms, is a sophisticated algorithm (or algorithms) for identifying relevant competencies (along with other parameters) to identify the needle in the haystack of data. But it has come a long way since our earliest parsing efforts in 2001.

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The evolution of the dataset – why it’s not just about the algorithm

Hireability

How is this relevant in the HR tech space? Semantic matching, available from a number of firms, is a sophisticated algorithm (or algorithms) for identifying relevant competencies (along with other parameters) to identify the needle in the haystack of data. But it has come a long way since our earliest parsing efforts in 2001.