Extending the Graph
Uniquely, Workday can add even more value for customers by creating a skill-based representation of any professional document, based on our technology's representation of skills. What does this mean? It means we can understand the relevant skills to any structured or unstructured document, for example, a resume, learning content, job description, etc., and extract those pertinent skills and simultaneously represent such a document “spatially.”
Understanding the spatial representation of skills provides a clear picture of how closely skills are related to one another, as well as to those entities represented with skills (jobs, for example). This enables us to determine a more optimal path toward a target result—in this case matching workers or candidates to jobs, content, learning, mentors, etc.; and vice versa, matching jobs to candidates, learning to workers, and more.
This spatial representation of both the underlying skills and documents allows the implicit discovery of skills across workers, candidates, learning content, teams, and organizations, without the addition of explicit work of entering those skills. This also allows a representation of all documents in how they relate to each other in the “language of skills.” This unique observation is the basis of many machine learning-driven solutions and products that we have brought to market, such as Workday Talent Marketplace, as well as new capabilities across recruiting, talent, learning, compensation, and workforce management.
By transforming that probabilistic graph of skills into a spatial representation of that same data, we can now substantially enrich that base data, and move to higher-value applications. This also enables us to leverage that same foundational base to build a diverse but consistent set of applications—which simply isn’t possible with siloed data sets and traditional development patterns.
Understanding these relationships, in a cloud-native, consistent source of truth, enables us to build out a unique set of skills functionality. With a robust set of worker data stemming from a customer community that includes more than 45 million workers globally, we can rapidly innovate across Workday applications to continue to bring more value to our customers. Think of skills cloud as the heart that pumps lifeblood into all the parts of the corporate body—no matter how it changes or grows, or what new muscles it develops.
The More It’s Used, the Better It Gets
Because skills cloud is woven into the fabric of Workday HCM, it naturally extends to many Workday applications, such as Workday Learning and Workday Recruiting. This means that if a worker gains a new skill through Workday Learning or a short-term rotation inside the company, all recommendations in Workday related to learning, gigs, mentors, and opportunity graph will adapt and make different recommendations to either further develop this new skill or suggest what the worker’s next skill should be.
The foundation we’ve created enables us to develop new features and functionality quickly. And as part of the same skills cloud “heart,” they are all evolving simultaneously in real time, without a hiccup, to support customers who are using skills to drive talent optimization.
For example, with our second major release in 2020 (read about our new release schedule here), we have introduced more than 25 new features, including:
- Suggested skills for candidates
- Suggested skills for workers
- Suggested Workday Learning content
- Skills verification and endorsements
- Suggested gigs
- Jobs matching (in Workday Recruiting)
Importantly, our capabilities driven by skills cloud have grown at such a pace that we’ve been able to deliver our Talent Marketplace, where people and opportunity meet in a smarter way. We look forward to helping our customers leverage the Workday Talent Marketplace, and to expanding the use of our skills cloud, as we continue to help them navigate a changing world of work.