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Sumser tech spotlight: This hiring tool ‘distinguishes itself’

HRExecutive

Once Catalyte turned 10 (in 2010), Rosenbaum began incubating what was to become Arena. The idea was to apply the predictive/big data/matching tools to the problem of workforce stability in healthcare. Most recruiting and talent acquisition providers steer clear of promising results because the data can be hard to acquire.

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Visier

HR Lineup

Visier is a leading-edge human capital management (HCM) and people analytics platform that empowers organizations to make data-driven decisions about their workforce. Founded in 2010, Visier has become a trusted partner for businesses looking to optimize their talent management and HR processes through sophisticated analytics and insights.

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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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People Analytics and HR-Tech Reading List

Littal Shemer

If you are interested in additional free resources for data science and R programming, check the comment section of this post. “Technology, data analytics, and artificial intelligence already impact how people work and engage with organizations. Click titles for Kindle versions (Work in progress. First published: May 14th, 2018.

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Mettl

HR Lineup

Mettl was founded in 2010 by Ketan Kapoor and Tonmoy Shingal, with a mission to help companies build a data-driven and efficient workforce. The platform offers a wide range of assessments, including cognitive, behavioral, technical, and domain-specific tests, ensuring that organizations can find the right talent for any job position.

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Forecasting in R: a People Analytics Tool

Analytics in HR

The main difference between predictive analytics and forecasting is best characterized by the data used. Generally, forecasting relies upon historical data, and the patterns identified therein, to predict future values. Data Collection. The time-series data we will use for our example comes directly from Google Trends.

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

CCI Consulting

First, some facts about employee turnover: The 2021 quit rate is consistent with other post-recession data (i.e., a 28% quit rate in 2001 and 2010, following the 2000-2001 and 2008-2009 recessions). Develop Talent Strategies : This is the bread and butter of HR work. So, how is history repeating itself?