San Ramon, CA (PRWEB) October 24, 2013
David Bernstein will present a Big Data-focused session at the Garden State Council SHRM Conference on October 27-29 at the Atlantic City Convention Center in New Jersey. The theme for the 22nd annual conference is “HR Mission: Results Driven,” with the intent of equipping HR pros to focus on driving towards extraordinary business results.
Bernstein will present the session, “Big Data for HR: Now is The Time,” on Oct. 28 from 1:30 to 2:30. The session will explain how to leverage Big Data-derived predictive analytics insights to improve job posting effectiveness as well as ways to begin integrating Big Data into the recruiting process sooner than later.
Bernstein is the vice president of the Big Data for HR - Data Analytics Division at eQuest, where he uses Big Data analytic insights to enable organizations to make evidence-based decisions about their recruiting and hiring strategy. He writes and speaks internationally and has a long history of creating innovative HR strategies for Fortune 100 companies.
“Big Data offers HR the opportunity to be more targeted in finding and attracting talent. If recruiters can be faster and more effective in the highly competitive talent environment, then that creates competitive advantage for the business,” Bernstein said.
More information on the conference is available at http://www.gscshrmconference.org/.
eQuest is the world's dominant and most-utilized job posting distribution company. Its primary customer base consists of the majority of the Global Fortune 500. It also provides job deliveries on behalf of the world's largest Applicant Tracking Systems, ERPs, and job boards -- managing thousands of companies through these channels. Present job posting deliveries average 250 million annually. Its Big Data for HR division consults companies wanting to take advantage of its corporate intelligence and predictive analysis services. Other products include consulting, OFCCP compliance and audit protection, technology services, data analytics, interactive media representation, and various predictive tools. http://www.equest.com