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Driving Innovative Business Models through Workforce Planning

hrQ

Just as a refresher, a business model, according to Ostwalder and Pigneur (2010) , “describes the rationale of how an organization creates, delivers, and captures value” The building blocks of a business model are: . These include: • Business Performance Metrics. Customer Segments. Value Propositions. Revenue Streams. •

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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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Diagnosing and Preventing Nurse Burnout Using People Analytics

Visier

According to a 2010 study of California’s policy by Linda Aiken, et al., HR needs to take a compassionate approach to reducing nurse burnout and, strange as it may sound, people analytics and data can truly help in the effort to see the issues from the nurse’s point of view. How to Leverage Data as Your Diagnostic Tool.

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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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Human Resources KPIs: An In-depth Explanation with Metrics & Examples

Analytics in HR

“Without data, you’re just another person with an opinion”, is arguably Edward Deming’s best-known quote. KPIs are strategic metrics. Only metrics that have a direct link with the organizational strategy can be called KPIs. None of these metrics will directly contribute to reaching the organization’s strategy.

Metrics 111
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Making it across the bridge: How data science saves lives

Thrive Global

Chandrasekar Venkatesh, an acclaimed data scientist, has been analyzing cable-stayed bridges as a part of a research project at the University of Cincinnati. Chandrasekar Venkatesh, data scientist. Back in 2008-2010, there were a few accidents on that bridge during winter. What’s the problem with cable-stayed bridges?

Data 36
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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.