Santa Barbara, CA (PRWEB) December 08, 2014
At the inaugural Predictive Analytics World for Workforce http://www.predictiveanalyticsworld.com/workforce/2015/ Conference in San Francisco, a powerhouse gathering of the most innovative employers, consultants, and vendors will discuss how to proactively take full advantage of predictive analytics to strategically solve workforce challenges.
Taking place March 31 - April 1, 2015 at the Marriott Marquis in San Francisco, PAW Workforce uniquely transcends HR to educate and inspire business leaders to leverage powerful employee analytics to solve mission-critical business challenges organization-wide.
“Modern analytical methods can predict many aspects of employee performance. These same employees drive everything a company does, every risk it takes, and every penny it makes,” says Greta Roberts, CEO of Talent Analytics, Corp. and Conference Chair. “PAW Workforce will highlight the real pioneers in this work.”
An international mix of the top minds in the exciting field of predictive workforce analytics will gather to discuss a diverse range of topics: predicting employee performance and retention, predicting employee burnout, predicting top leaders, building a successful HR analytics organization and even quantitatively exploring the connection between employee mood and business results.
“Predictive Analytics World for Workforce is the foremost leader in applying sophisticated models to inform solutions around workforce challenges,” says Elpida Ormanidou, Global Head of People Analytics at Walmart and PAW Workforce Keynote.
One of the many important topics to be addressed at PAW Workforce will be on employee retention and on specifically how businesses can predict flight risk with 70-90% accuracy across all levels of their organization.
"It's well documented that retaining top talent is an important and expensive challenge across the board for employers. HR technology vendors need to focus on tools that are predictive in nature in addition to reporting the past," says Steve VanWieren, PAW Workforce presenter & Data Scientist at Ultimate Software.
Registration (http://bit.ly/1tYxXMM) has now opened for PAW Workforce in San Francisco and conference chair Greta Roberts has announced the program (http://bit.ly/1s1OG26), which represents a compelling mix of practitioner and vendor thought leadership from some of the most innovative predictive workforce analytics companies in the world.
Featured speakers come from innovative organizations including Talent Analytics, Walmart, ABN AMRO, American Savings Bank, AOL, Cisco, Dignity Health, Elder Research, HiQ Labs, iNostix, Numerical Insights, Pfizer, SMD, Sears, Smarter Remarketer, tClara, Ultimate Software, 3d Results.
Register by December 19, 2014 for the best conference discounts: http://bit.ly/1tYxXMM.
Please tweet this:
Register for the first #PAWWorkforce conference in SF! See the amazing speaker lineup so far: http://bit.ly/1uz9dLK. Best rates end 12/19/14.
About Rising Media, Inc.
Rising Media is a global events producer excelling in internet and technology-related conferences and exhibitions. Rising Media-produced events include Data Driven Business, the eMetrics Summit, Conversion Conference, Predictive Analytics World, Text Analytics World, Affiliate Management Days, Building Business Capability, Social Media Economy Days, Web Effectiveness Conference, Search Marketing Expo, SemTech and Social Gaming Summit in the US, Canada, UK, France, Germany, Sweden, Finland and Australia.
About Talent Analytics, Corp.
Talent Analytics, Corp. leads the industry in using predictive analytics to solve complex employee performance challenges. Talent Analytics Advisor®, our multi-award winning cloud based, platform helps large employers around the world reduce attrition and increase performance in sales, service & analytics roles. Visit TalentAnalytics.com to learn more.
Keywords: predictive workforce analytics conference, predictive talent analytics conference, predicting employee attrition, predicting employee performance, San Francisco events