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Data-Driven Recruitment: How to Hire Smarter with Analytics

JazzHR

Adopting a data-driven recruiting strategy is one of the best ways to future-proof the hiring processes in your small or medium-sized business (SMB). In this guide, you will get insight into why data-driven recruitment matters for SMBs, how to collect data, and how to use it to your advantage. What data should SMBs track?

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Unlocking the Power of Data: How Recruiting Analytics Software Transforms Talent Acquisition

Automated Business Designs

When you think about staffing and recruiting, the first thing that comes to mind is probably not data analytics. You might think of people, candidates, hiring, jobs, interviews, clients, and more. Think of data as a crystal ball. The power of data can quickly be unlocked as soon as you begin making data-driven decisions.

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How Bad Is the Skills Shortage? 10 Data Points That Tell the Full Story

Vervoe

Here are 10 data points that show the current situation, what’s causing it, and what you can do about it. Roles in data analytics, web design, management, and sales and marketing top the list of business areas organizations should worry about. Using niche job boards to avoid a large number of inadequate applicants.

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4 Steps of Data Driven Recruiting

CodeSignal

This blog post is based on the twenty-third episode of the data-driven recruiting podcast hosted by CodeSignal co-founders Sophia Baik and Tigran Sloyan. Data-driven recruiting is becoming one of the buzzwords of the recruiting world. When it comes to the top of funnel, you need to have data to know where to focus your efforts.

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Discover 4 Use Cases for Applying AI to Your Recruiting Processes

Recruitment AI technology uncovers the most qualified candidates. This technology automates recruiting routines and facilitates natural conversations, resulting in higher productivity and a better candidate experience. Download the eBook to learn more!

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How Is Artificial Intelligence Changing the Recruiting Process?

4 Corner Resources Staffing Blog

Fairness Since data drives AI, it’s inherently less prone to the biases that can creep into the hiring process (though it’s not completely immune to bias–more on that a little later on). Advanced algorithms can identify job success and retention predictors, helping us zero in on the best candidate from a group of finalists.

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Recruitment Software Features

Recruiter Flow

Your ATS should be able to automatically extract data from resumes and format it into a standardized template. Job board and social media integration ATS must have integration with leading job boards and social media platforms. Scorecards The ability to create personalized scorecards is a valuable feature.