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AI in Recruiting – Salvation at Last?

General Information Services

But thanks to ground-breaking apps with whimsical names such as SmashFly and Mya, the heavy lifting part of recruiting the most qualified talent is becoming vastly faster, easier and more accurate than anything we could have imagined even five years ago. Chatbots can work with organizations’ Customer Management Systems (CMS). So what’s next?

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Your Employee Referral Program Guide: The Benefits, How-tos, Incentives & Tools

SnackNation

Perform better on high-impact metrics than other candidates who share similar characteristics. Collect metrics on any online communications so you can try to gauge interest. Plan surveys or one-on-meetings to gauge the program’s success in ways metrics can’t measure. Here are some stats on employee-referred workers to prove it!

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Source of hire: what it is, how to measure it and how to use it

Workable

As with every recruiting metric , measuring SoH can be complicated but fruitful. Data from your Applicant Tracking System (ATS) shows that 20 of them were referred (40%), 15 applied through job boards (30%), 12 were contacted through direct sourcing efforts (24%) and three came from career fairs (6%.) To gather data: Use surveys.

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How Analytics are Used for Talent Acquisition: A Call for Best Practices

Brandon Hall

I am a data geek, and a firm believer in the power of analytics. It is amazing the amount of intelligence that can be gleaned from publicly available data. Examples of some of these providers are: SmartRecruiters , Gild , and Smashfly. SmartRecruiters uses predictive analytics to identify the best job boards.

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Top 100 HR and Recruitment Blogs [by Organic Traffic with Top 3 Articles Each]

Ongig

HR Metrics: How and Why to Calculate Employee Turnover Rate? HR Analytics. Data-Driven Recruitment. The Beginner’s Guide to Recruitment Analytics. Data and Automation. Recruiting Metrics. Tracking and Analytics. Official Blog Link. TalentLyft Blog. Blog Category. Recruiting. Culture and People.

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Conference Twitter Primer #HRtechConf 2018

Advos

#HRTech #FutureofWork #AI #HCM #Leadership #Recruiting #WomenInTech #HRTechnology #Digitalworkplace #TalentMobility #CHRO #PeopleAnalytics #HRTechExpo #EmployeExperience #WomenInBusiness #Analytics #Chatbot #Blockchain #EmployeeExperience. “ @HitachiVantara : Formerly @HDSCorp (Hitachi Data Systems). Professional data geek.

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HR Tech Conference Highlights through a Talent Acquisition Lens

Brandon Hall

Research galore : Lever has just released their “Little Grey Book of Recruiting Benchmarks” which contains insights based on data across millions of candidates considered by 1,000 Lever customers. Here are just a few of their data points: the median time-to-hire for engineering is 38 days; for customer service it is 27 days.