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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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Assessing Values in Online Technology Part 4

HR Examiner

We’re finishing up the series today in part four with the data from the 90-day study where we racked up 450+ hours watching demos, asking questions, and working to understand the business model and technical approach of 110 companies. People Analytics: 4%. Survey data was collected in Euroope (22%) and the US (78%).

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The Latest BLS Data Reinforces HR Leaders’ Top Priorities for 2023 (i4cp login required)

i4cp

The latest data from the U.S. This included the JOLTS (Job Openings and Labor Turnover Summary) data on Wednesday , and The Employment Situation report on Friday. The JOLTS data is current through November (preliminary), while the employment data is for December (preliminary). What does the latest data say?

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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.

article thumbnail

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.