In this engaging discussion, David Turetsky and Craig Friedman delve into the complexities of HR data management, skills taxonomy, and data architecture. They explore the challenges of maintaining accurate HR data, the evolving nature of skills management, and the various strategies for data architecture, including systems of record, data lakes, skills graphs, and event-driven streaming. The conversation highlights the importance of aligning data strategies with business goals and the potential ROI of effective skills management.
Keywords: HR data, skills management, data architecture, systems of record, data lakes, skills graphs, event-driven streaming, ROI, business goals
"HR data is just terrible."
"People data tends to be bad."
"Systems of record provide a single source of truth."
"Data lakes allow for comprehensive analytics."
"Skills graphs facilitate translation between systems."
"Event-driven streaming supports real-time updates."
"AI inference is integral to modern data strategies."
"Effective skills management drives ROI."
"Align data strategies with business goals."
"HR data often suffers from inaccuracies."
00:00:46 - Introduction to HR Data and Skills Management
00:03:40 - Challenges in HR Data Accuracy
00:08:43 - Exploring Data Architecture Strategies
00:26:22 - The Role of AI in Data Management