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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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Top 5 HR Analytics Articles: Fall 2016 Edition

Visier

Whether it was Mark Berry ’s talk on “Quantifying HR with Advanced HR Analytics,” or the “Ask the Expert” Datafication of HR panel of Visier customers joined by Josh Bersin , or Al Adamsen’s interview of tech evangelists on the future of HR analytics, conference attendees couldn’t get enough on the topic of workforce intelligence.

Analytics 150
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Build vs. Rent: Don’t Crash on the Do-It-Yourself Iceberg for Workforce Intelligence

Visier

The race to adopt workforce intelligence is heating up: according to the Deloitte Human Capital Trends 2016 report , “companies are no longer ‘stuck in neutral’ in their deployment of people analytics… Indeed, analytics capabilities will be a fundamental requirement for the effective HR business partner.”. IT administrators.

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5 Must-Read Talent Acquisition Articles of 2016

Visier

This was a recurring theme that we saw in 2016, and thanks to analytics , Talent Acquisition has graduated from a simple candidate filling function to a strategic arm that has a direct correlation to an organization’s bottom line. Measure for Measure: The Evolution of Recruiting Metrics. Recruiting Can Learn a Lot from Sales.

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Algorithmic Management in Organizations: Benefits, Challenges, and Best Practices

Analytics in HR

Firms that fail to integrate analytics and AI into their strategy run the risk of falling behind. They get information on their average ‘time to accept orders’, ‘travel time to restaurant’, ‘travel time to customer’, and other metrics that algorithms track. References. Angrave, D., Charlwood, A.,

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It’s Time For HR to Be Bold with Analytics

Visier

While 77% of all organizations believe people analytics is important, only 32% feel ready or somewhat ready for analytics, according to Deloitte’s Global Human Capital Trends 2016 report. So how can practitioners take advantage of analytics’ potential? When these are in place, stay close to your influencers.

Analytics 150
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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.