With learning analytics, leading training teams demonstrate how training outcomes impact organizational KPIs.
With learning analytics, leading training teams demonstrate how training outcomes impact organizational KPIs.
Training reports can be engineered to demonstrate the impact training has on unique organizational objectives.
Your training team can report on activity metrics, like seat time, attendance rates, survey results, and completion rates, but are you able to infer future actions from that data?
Learning analytics is an approach that places a business intelligence mindset at the forefront of data analysis, enabling training teams to inform future decisions based on data.
In this short guide, explore insights from two leading training professionals, and how they insulate their business with tools and processes that enable them to forecast future needs.
Explore:
Activity metrics are only a snapshot of a moment. They don’t correlate that moment to outcomes achieved.
Activity metrics generally focus on learners. Learning analytics connect training and business data.
What story can your team tell with activity metrics? Empowering training to tell a story of impact is possible.
Activity metrics are a necessary part of learning and development programs. They capture the data points that give training teams a top-level view of learner engagement. Learning analytics go deeper. They connect activity metrics to business-critical objectives. With activity metrics, you can tell that a new onboarding course had a high attendance rate, but did it really impact employee turnover? When business and learning systems are connected, it’s possible to tell that story with learning analytics, and even pinpoint where action needs to be taken. With a training operations platform, which connects training data to business data in one system, this type of analysis is possible.