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Make Data-Driven Hiring Decisions That Count With Talent Analytics

Hoops

It’s 2016, and big data is the name of the game. Once you’ve assembled your talent analytics team , here are a few tips to help you get started . Talent analytics help you know who to hire, but perhaps equally important, it helps you know who NOT to hire. Collect Data On Your Entire Team, Not Just Top Performers.

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Make Data-Driven Hiring Decisions That Count With Talent Analytics

Hoops

It’s 2016, and big data is the name of the game. Once you’ve assembled your talent analytics team , here are a few tips to help you get started . Talent analytics help you know who to hire, but perhaps equally important, it helps you know who NOT to hire. Collect Data On Your Entire Team, Not Just Top Performers.

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Here’s What Your Turnover and Retention Rates Should Look Like

Glassdoor for Employers

According to SHRM’s 2017 Human Capital Benchmarking report, the average overall turnover rate in 2016 was 18 percent. If you are an.

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How Will You Use Talent Analytics in 2017?

Glassdoor for Employers

Where has 2016 gone?! It’s time to gear up for 2017 and implement tools that are going to set you up for.

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5 India Recruitment Trends That YOU NEED To Know

Social Talent

Therefore, Indian recruiters will be facing significant pressure in attracting and retaining top talent. In fact, Aon Hewitt and People Matters found that 79% of Indian organisations project increased hiring for 2016-17. This seems to be a critical time for Indian recruiters to evolve and be as innovative and nimble as possible.

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A Look Ahead at People Analytics 2016 / 2017: Enabling Organizational & Financial Health

Bersin

Results from Deloitte’s Global Human Capital Trends 2016 survey showed that 32 percent of the global organizations surveyed feel “ready” or “somewhat ready” for people analytics (+8 percentage year over year).[1] 1] Among those same organizations, 77 percent think people analytics is “important” or “very important.”

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Here’s How IBM Predicts 95% of Its Turnover Using Data

Linkedin Talent Blog

In 2016, back when IBM was still fine-tuning its program, a company blog post noted that the predictive model found a strong link between excessive overtime and attrition. Related: No Need for the 9-5: How PwC Successfully Built a Culture of Work Flexibility. ––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––.

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