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10 vital HR metrics to track for your business

Business Management Daily

As organizations become more complex, data helps clarify the picture of what’s going on as it relates to employee engagement and retention. How are organizations using HR analytics to increase employee recruitment and retention? There are many ways to use it down to where recruitment dollars should go.

COMPAS 59
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How Facebook Is Recruiting Exceptional Talent Today

TalentCulture

Let’s examine Facebook’s magnetic appeal and see how we can all learn from it to recruit exceptional talent. Facebook Recruitment Relies on Fit, Unique Tactics, and the Ability to Change. We want to connect to our candidates in the recruiting or inter-viewing process pretty deeply.” Uses internal resources to attract recruits.

COMPAS 40
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Employee Compensation: Everything you Need to Know

Astron Solutions

As an HR leader for your organization, you know that employee compensation is not just something you determine when you hire a new team member and then forget about. In fact, the performance rating taken in tandem with an employee’s compa-ratio reveals a fuller picture. What is Compa-ratio?

COMPAS 59
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The 100 HR Indicators Every Manager Needs to Know

EmployeeConnect

Recruitment #5. HR #1 – Demographic Indicators Number of employees Median age Median length of employment Median salary Gender diversity (i.e. # of women vs. # of men ratio) Diversity (i.e. of men ratio) Diversity (i.e. Organisational Structure #3. Productivity #4. Internal Movements #6. Performance #8.

COMPAS 100
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What is People Analytics and How Do I Get Started?

Visier

It reduced its workforce planning cycle by 25%, improved the accuracy of its hiring plan from 78% to 95%, and increased the accuracy of its headcount plan from 60% to 95%. Link recruiting to business outcomes. Tackle turnover problems. Set your sights on a diverse and inclusive workforce.

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AI 101: What is Artificial Intelligence and What Does It Mean for HR?

Visier

Many workers use AI in its most basic form, as analytics; for example, to assess the diversity of their talent poo l. More complex AI might move towards using data to make predictions, for example around employee turnover rates and risk of exit. Some people would look at this example, and describe it as analytics.