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: Human Capital Management, Learning Management, HRMS, Workforce Management, digital technology, Work and Resource Management, Machine Learning and Cognitive Computing, Payroll Optimization, Total Compensation Management, candidate engagement
Employee engagement has been a dominant theme in both human capital management (HCM) and the systems to manage it in recent years; lately (though not necessarily appropriately) it is a topic often equated with the notion of the employee experience. On a related point, Gallup’s annual employee engagement survey has consistently found the majority of today’s workforce to be disengaged, defined as “not enthusiastic or passionate about their work.” Interest in the degree to which HCM technology can improve employee engagement (or mitigate disengagement) now rivals the attention given to such perennial chief human resources officer (CHRO) concerns as attracting and retaining top talent and retooling the workforce.
Topics: Big Data, data science, Human Capital Management, Machine Learning, Learning Management, Analytics, Business Intelligence, Cloud Computing, Collaboration, HRMS, Workforce Management, digital technology, Workforce Optimization
The HCM software market continues to evolve at an unprecedented pace. The innovations we’re seeing are exciting new features and capabilities, but many have more profound impacts: They provide organizations with more effective ways to serve their customers and enhance their experience. HR’s customers –employees, managers, retirees, candidates, leadership and external partners – can now access and take advantage of native mobile apps, virtual agents and chatbots (via text or voice) as well as robotic process automation (“RPA”) technology for predictable-task execution and algorithms that prescribe best actions. We are also seeing increasing evidence of the power and potential of virtual and augmented reality to create immersive experiences (for candidates and learners) and the internet of things is helping organizations achieve an even more connected, data-driven workforce. We at Ventana Research recently released our research agenda for 2018, which outlines the ways we plan to track and evaluate these advances and innovations in the coming year.
Topics: Human Capital Management, Employee Engagement, Employee Productivity, HR technology, HCM Systems
Two of the most impactful contributions of any HR department are driving employee engagement and employee productivity, outcomes that are highly correlated of course. These contributions are meaningful because, for an organization of any appreciable size, even fairly small upticks in employee productivity translate into significant financial benefit. The math is simple: Increase revenue per employee (for example, via technologies that enhance productivity) from $150,000 to $157,500 (just 5 percent) in a workforce of 5,000 employees and you capture $37.5 million in incremental revenue. The magnitude of this business impact is several times larger than shaving even 50 percent off the HR operating budget in an equivalent-sized organization.
Topics: Predictive Analytics, HCM, Human Capital Management, Analytics
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: Big Data, data science, Mobile, Human Capital Management, Machine Learning, Learning Management, Analytics, Cloud Computing, Collaboration, Internet of Things, HRMS, Workforce Management, Payroll Optimization, Total Compensation Management
