The heightened focus on skills comes as no surprise. With the rapid pace of change and ongoing labor shortages, companies are increasingly adopting a skills-based approach that widens the talent pool and finds workers with skills that thrive in dynamic environments. But the increased interest in skills has also put a spotlight on the challenges of designing a skills-based talent strategy.
Among the top challenges is the inability to connect skills data from multiple sources. Skills data exists in many applications, internally and externally: skills assessments, labor market data, recruiting applications, and learning applications, just to name a few. To get the best analytics and machine learning driven experiences—such as personalized career recommendations—across these applications, data needs to be connected. However, integrating skills data isn’t easy—it’s often complex, requiring costly custom integrations that don’t always work. As a result, companies aren’t able to get the most value out of their skills-based applications.
At Workday, we believe understanding employees’ skills is essential to operating a business and an imperative for the future of work. Skills data is the foundation for effective workforce planning, recruiting, and internal mobility.
That’s why we introduced Skills Cloud, a skills data ontology that breaks