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

i4cp

About the data The latest U.S. Bureau of Labor Statistics (BLS) data was released last week. This included the JOLTS (Job Openings and Labor Turnover Summary) data and The Employment Situation report. The JOLTS data is current through November (preliminary), while the employment data is for December 2023 (preliminary).

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

i4cp

About the data The latest U.S. Bureau of Labor Statistics (BLS) data was released last week. This included the JOLTS (Job Openings and Labor Turnover Summary) data and The Employment Situation report. The JOLTS data is current through November (preliminary), while the employment data is for December 2023 (preliminary).

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Launch Bold Employee Retention Programs That Work: Avoid Copycat HR

Visier

Proponents have credited this approach with a 28-fold increase in earnings (and a 5-fold increase in revenue) at GE between 1981 and 2001. It is important to drill down into key business units, geographies or roles because it is not uncommon to see a huge variance between groups and your overall employee population.

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9 HR Concepts and Terms You Should Know

Digital HR Tech

What’s in: Engagement Job demands-resources model Strategic Human Resource Management HR analytics Employee turnover Applicant tracking system HR report Employee experience 360-degree survey. HR analytics, also called people analytics , is a data-driven approach to managing people at work ( Gal, Jensen & Stein, 2017 ).

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

Hireability

Consider your average database holding all of your data. What portion of the data is unique? The fact that New York may be in your database several thousand times is part of your data, the item, ‘New York’ as a city or a state, would be one unique item in a dataset. . That data can assist in hiring decisions.

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

Hireability

Consider your average database holding all of your data. What portion of the data is unique? The fact that New York may be in your database several thousand times is part of your data, the item, ‘New York’ as a city or a state, would be one unique item in a dataset. . That data can assist in hiring decisions.

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

Hireability

Consider your average database holding all of your data. What portion of the data is unique? The fact that New York may be in your database several thousand times is part of your data, the item, ‘New York’ as a city or a state, would be one unique item in a dataset. . That data can assist in hiring decisions.