Retention Sourcing Staffing Talent Analytics 
Transformify - Recruiting
OCTOBER 27, 2022
How to Use Data Analytics in Recruiting. Selecting suitable measurements and establishing reliable data sources is crucial. On the other hand, 2022 is a big year for LinkedIn, as they will release the beta version of Talent Insights. Using data analytics, you no longer rely on your gut feelings but a rigorous scientific method.
Linkedin Talent Blog
NOVEMBER 1, 2016
According to LinkedIn’s 2017 Global Staffing Trends Report , more than half of staffing industry leaders expect their firms’ budgets to grow within the next year. For many staffing firms, this change represents uncharted territory. How can staffing leaders stay ahead of the curve (and noise) in their industries?
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The Staffing Stream
JUNE 23, 2021
As labor markets change, and the demand for skills grows, businesses need to work smarter and more strategically to define talent acquisition in a post-Covid world. Through these testing times, talent analytics has grown exponentially. Hiring metrics help your business to optimize processes and focus resources.
AkkenCloud
FEBRUARY 4, 2024
As we navigate through 2024, the staffing industry finds itself at a pivotal juncture, marked by the rapid integration of cutting-edge technologies such as generative AI, continuous threat exposure management, and the Internet of Behavior.
Contract Recruiter
SEPTEMBER 17, 2021
Enter Talent Analytics. What is Talent Analytics? Analytics is the science of harvesting significant data points (Key Performance Indicators) about a subject and then using that data to make informed decisions. Talent analytics, then, is applying this process to your talent pipeline.
AkkenCloud
MAY 18, 2023
In today’s fast-paced and highly competitive job market, organizations face increasing challenges regarding sourcing, attracting, and hiring top talent. As the demand for skilled professionals rises, staffing and recruiting professionals turn to innovative solutions to streamline their processes and gain a competitive edge.
Linkedin Talent Blog
DECEMBER 19, 2016
As a result, the Talent Acquisition team was under intense pressure to source better and faster. That’s when Talent Acquisition decided it was going to have to get more analytical to stay ahead and engaged our newly formed Talent Analytics team. Image of LinkedIn's Talent Analytics team.
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