Infor, a leading provider of business application software serving more than 70,000 customers, today announced that Modell's Sporting Goods, America's oldest, family-owned and operated retailer of sporting goods, has selected Infor PeopleAnswers Talent Science to improve employee selection, development, and succession planning for its chain of over 150 stores throughout the Northeast. Available via the cloud, Infor PeopleAnswers Talent Science uses science, technology, and analytics to predictively link behavioral data to real business outcomes, helping companies improve business performance, reduce turnover, and optimize the HR process.
"As we go into our 125th year in business, we were looking for a partner that could help us better shape and grow our existing successful teams. Infor's scalable solution can quickly identify key attributes we look for in team members, which will streamline hiring and ultimately reduce employee turnover," said Mark Oliver, senior vice president, Human Resources, Modell's Sporting Goods. "The solution will not only help us hire with more confidence, but will provide us with enough information to plan for onboarding and coaching of certain positions, giving our HR managers more confidence in decision-making."
Infor PeopleAnswers Talent Science provides HR professionals and hiring managers with analytics to identify the personality and behavioral traits that distinguish top performers and identify internal and external candidates who possess those traits. The use of powerful analytics in the hiring and talent management process can help organizations better identify, hire, deploy, align, review, coach, promote, and reward talent. With the ability to customize hiring profiles, the solution uses industry and client-specific metrics to identify high achievers and their key attributes through data points such as sales volume, sales units, percentage to goal, up-sell or accessory sales, guest satisfaction surveys, mystery shopper scores, performance evaluations, sales per hour, and more.
Modell's Sporting Goods was looking for a more modern solution to hiring, and wanted to replace previous paper-driven processes with dependable online technology. Their teams will benefit from employee development tools that are customized to every individual, and provide built-in coaching expertise to help them improve performance and develop into a maximum producer once onboarded.
"Having a strong workforce is the backbone of any successful company - from stock rooms to customer service all the way through to management," said Gab Goncalves, senior vice president, HCM Strategy, Infor. "The ability to harness data and translate it directly to hiring can enable improvement of the HR function and, in a retail setting, there is real opportunity for hiring and talent management to drive business performance."
About Modell's Sporting Goods
Modell's Sporting Goods is America's oldest, family?owned and operated retailer of sporting goods, athletic footwear, active apparel and fan gear, committed to providing a
convenient and compelling shopping experience for the athlete and fan in all of us.
Founded in 1889 by Morris A. Modell, the first Modell's store was located on Cortlandt Street in lower Manhattan, NYC. Four generations of the Modell family have developed the family business into a chain of over 150 stores throughout the Northeast and online at modells.com. Modell's Sporting Goods represents a tradition of shopping with one of the most trusted names in the business.
Infor (infor.com) is fundamentally changing the way information is published and consumed in the enterprise, helping 70,000 customers in more than 200 countries and territories improve operations, drive growth, and quickly adapt to changes in business demands. Infor offers deep industry-specific applications and suites, engineered for speed, and with an innovative user experience design that is simple, transparent, and elegant. Infor provides flexible deployment options that give customers a choice to run their businesses in the cloud, on-premises, or both.