CAMBRIDGE, MA (PRWEB) JULY 15, 2015
Talent Analytics, Corp. today announced the immediate availability of “Winning Roles™” predictions. Winning Roles predictions, embedded in Talent Analytics’ Advisor™ platform, instantly predict the likelihood of one person’s success in several (or many) roles.
Winning Roles predictions identify which roles would deliver the most value to the organization while providing the greatest opportunity for success and engagement for the candidate. Advisor’s elegant dashboard instantly delivers a prediction about the candidate’s optimal role.
In addition to being an indispensable utility for hiring external candidates, Talent Analytics expects organizations to use Winning Roles predictions to identify the most interesting and successful career paths for its top employees. By identifying paths where they are predicted to thrive, the employee can advance their career while the organization retains its top performers.
“Within a single dashboard view, Talent Analytics’ Winning Roles predictions allows data scientists to upload and update candidate prediction models. This enables hiring managers and HR leaders to instantly identify great candidates, dynamically compare them to multiple open positions, and place the candidate where those models predict them to succeed. Advisor is the only platform on the market today that brings together both the business and science of workforce planning,” according to Chad Harness, VP and Lead Human Capital Analytics Consultant at a large regional US bank.
By way of example, one person’s success could be predicted in an open Bank Teller, Call Center and Bank Intern role. Advisor instantly identifies the Winning Roles predictions for the individual’s success in each of these roles. After being hired into one of these roles, this same individual could have their success predicted in a more advanced sales, technical or operations role.
Advisor’s Winning Roles predictions are extremely accurate since the definition of success is specific to the customer. Machine learning keeps predictions fresh, optimized and extremely accurate.
“We are proud to again deliver advanced predictive analytics solutions benefiting both businesses and their workforces. Winning Roles predictions enable businesses to predict candidate success in more than one role reducing sourcing costs, increasing success in the role and increasing employee satisfaction,” said Greta Roberts CEO of Talent Analytics, Corp.
Indeed, Tracy Linne, VP Sales at Pursway highlighted the benefits of this hiring advancement for sales leaders. “Predictions that identify the specific role that will yield the greatest outcome for a candidate is a no-brainer for any sales leader tasked with delivering revenue,” said Linne. “Predicting – pre-hire – that a candidate is likely to be a top channel sales performer but an average outside sales performer, is astonishing pre-hire insight.”
“Talent Analytics continues to lead the way in workforce data science by integrating proven techniques from other domains, said Peter Cuthbert, Executive Director, Customer Insights & Analytics at FRHI Hotels & Resorts. “Their Winning Roles predictions, introduce technologies to the task of predicting multiple dimensions of employee performance and flight risk.”
Learn more about Advisor’s Winning Roles predictions and watch a demo by visiting bit.ly/winningroles
Talent Analytics, Corp.
Talent Analytics, Corp. uses advanced Data Science to predict employee flight risk and KPI performance, both pre- and post-hire. Our predictive scoring algorithms are easily deployed into the employee sourcing, recruiting, hiring, and operations process via our award winning cloud platform, Advisor™. Pre- and post- hire predictions are directly portable to other HRIS, HCM, ATS or other appropriate workforce platform via our API. Greatest business ROI is realized targeting roles with highest turnover such as Call Centers, Insurance Agents, Sales Reps, Sales Engineers, Bank Tellers, Truck Drivers and other roles with larger volumes of employees. Visit TalentAnalytics.com to learn more.
CAMBRIDGE, MA (PRWEB) JULY 15, 2015