Learning analytics
Learning analytics is the practice of collecting and reading data about training, such as who completed what, how long it took, and how people scored, to understand what is working and where people struggle. For an L&D team it turns training from a list of courses into something you can measure, improve, and explain to managers.
What learning analytics measures
The basic measures are completion, scores, time spent, and overdue training. They tell you whether people are doing the training at all and how they perform on it.
Deeper analysis looks for patterns, such as which questions most people get wrong, which teams fall behind, or where people drop out of a course. Those patterns point to what needs fixing.
Why it matters for L&D teams
Without data, it is hard to know whether a programme works or to defend its budget. Analytics shows which training people finish, which they abandon, and which actually changes results.
It also helps you act early. A report that shows a site falling behind on required training lets you step in before an audit, not after.
Read the training completion rate definition
From reports to decisions
Good analytics answers a question you care about, not every number the system can produce. Start with a few: are people finishing required training on time, where are the gaps, and what should change.
Then use the answers to adjust content, reminders, or deadlines, and check the next report to see whether the change worked.
How an LMS provides learning analytics
An LMS records every assignment, completion, and score, so the data is there from the start. Dashboards and reports turn it into views by person, team, course, or location.
Standards like xAPI can add data from learning that happens outside the LMS, which gives a fuller picture.
Frequently asked questions
What is learning analytics?
Collecting and reading data about training, such as completion, scores, and time spent, to understand what is working and where people struggle.
What should L&D teams measure?
Start with completion, on-time completion of required training, scores, and overdue training. Add patterns like drop-off points and common wrong answers once the basics are in place.
What is the difference between learning analytics and reporting?
Reporting shows what happened, for example who completed a course. Learning analytics looks for patterns and causes in that data so you can decide what to change.
How does an LMS support learning analytics?
It records every assignment, completion, and score automatically and turns them into dashboards and reports by person, team, course, or location.
Can you measure the impact of training?
Partly. Completion and scores are easy to measure. Impact on performance means connecting training data to business results, such as fewer incidents or faster onboarding, which analytics makes possible.