Learning Analytics
Preparing for the Future: Steps to Embrace Skills Data
The shelf life of skills is shorter than ever. Use these principles to build a bedrock of reliable data to inform your skills strategy.
Watershed Insights
News
DevLearn 2023: Your Guide to xAPI & Learning Analytics Sessions
Explore top sessions at DevLearn 2023! Get insights on xAPI, learning analytics, and practical strategies. Make the most of your conference experience.
Learning Analytics
Future-Proof Your L&D Strategy with These Skills Data Best Practices
Unlock the secret to future-proofing your L&D strategy. Explore best practices for using skills data to drive organizational success and foster growth.
Learning Analytics
The Skills Journey Milestone That Unlocks Training Insights & Drives Long-Term L&D Strategy
Unlock training insights and drive L&D strategy by gathering and analyzing skills data to identify gaps and enhance organizational skill health.
Learning Analytics
Why Every CEO Should Drive a Skills-Assessment Culture
There’s a bold new world of skills waiting for L&D, HR, and people leaders to embrace. And it’s underpinned by capturing data now to make future decisions.
Learning Analytics
From Data to Action: How to Access & Analyze Organizational Skills Data
Explore best practices for accessing and analyzing skills data from your learning ecosystem to drive effective talent development strategies.
Learning Analytics
The Future of L&D: How Skills Data Is Transforming Talent Development
L&D's future is becoming intertwined with the power of skills data—but knowing where to find and start using skills data can be challenging.
Learning Analytics
Bridging L&D and HR’s Disconnect: The Essential Marriage of Skills & Learning Analytics
See how to use skills and learning data for an effective learning strategy as our blog series delves into the steps of a skills analytics journey.
Learning Analytics
Measuring L&D’s Success: What Reports Matter Most for Organizations?
Learning analytics supports L&D in many ways. So how do organizations use these analytics? And how do they want to apply them in an ideal world?