Recent advances in workforce management (WFM) software are rewriting the way organizations tackle hourly workforce management and related administrative challenges. This is largely due to improvements in the design of business processes and a focus on enabling more hassle-free user experiences. The result is fundamental changes in how workers account for their time and request PTO, as well as how they access information on payroll, benefits and other company policies. These advances are also enabling managers to more readily consider workers’ as well as the organization’s needs when they forecast and schedule shifts. Scheduling that minimizes worker burnout from too many double shifts, for example, only makes management sense and should be a common interest.
Over the last two years, investments in digital technologies such as artificial intelligence (AI) by nearly every major provider of HCM systems and tools have transformed the HR technology landscape. Many of the investments have gone into developing distinctive product capabilities, particularly capabilities that rely on machine learning technology.
Topics: digital technology, Machine Learning and Cognitive Computing, Human Capital Management, HRMS, Learning Management, Payroll Optimization, Total Compensation Management, Work and Resource Management, Workforce Management, candidate engagement
I’m thrilled to announce to my HCM vendor and practitioner network as well as the ever-expanding Ventana Research community that I’m now directing Ventana’s HCM practice. I will be working closely with our CEO and Chief Research Officer Mark Smith, who is a fellow HCM enthusiast and thought leader.
Topics: Analytics, Cloud Computing, Collaboration, data science, Internet of Things, Mobile, Big Data, Machine Learning, Human Capital Management, HRMS, Learning Management, Payroll Optimization, Total Compensation Management, Workforce Management