How to implement learning analytics with your learning programs
Posted: Sun May 25, 2025 9:23 am
There’s a good chance you’re using a dedicated learning canada phone number list platform or LMS (learning management system) which may have built-in analytics. A good platform that integrates with other systems you use can demonstrate the value of enterprise architecture. If you’re using an external learning provider for some or all of your training needs, they will also share data and any analytical reports they have.
Whatever approach you are using, there are several steps to ensure that you are getting the best from learning analytics.
Goals
Before you even consider the data, your first step is to understand and define what it is you want to achieve. Of course, the ultimate goal is to improve learning outcomes and equip your workforce with the skills and knowledge that help you achieve your strategic business goals. But to do that, you need to be sure that every aspect of your programs is optimized to meet your needs and those of your workforce.
Some of the goals you might consider include:
Measure levels of engagement in programs.
Effectiveness of learning programs including individual modules.
Evaluate any learning/remote learning offered.
Analyze learning outcomes.
The thing to note is that there is no ‘one size fits all’. Different organizations will have different needs when it comes to learning programs but ultimately, you want to be able to see how well your programs work. Whether learning about a call center cloud system or learning new communication technology, you want to be sure that all the programs are effective.
Identify data sources
To properly evaluate learning programs, you need to source data from multiple places that are not always part of your program. For example, suppose employees learn how to use new machinery. In that case, you may want to source data relating to output and productivity as this relates both to the machinery itself and to the skills your staff have learned.
Your learning platform (internal or external) will likely be the richest source of data available. What’s important to note is that you should unify your data into one large dataset that will make analytics more straightforward. Unified data means that you can:
Identify and share benchmarks for different programs and modules.
Evaluate the effectiveness of different programs and learning methods.
Compare different types of content to see what learners prefer (a sort of educational A/B testing).
Implement personalization where needed and appropriate.
Your data sources may be varied but will usually include data from:
Any learning platform(s) used.
Your learning management system (LMS).
Devices used for accessing training.
Any enterprise-level systems used.
Any relevant systems within your business such as sales figures.
Human resources systems.
Third-party data where relevant.
Whatever approach you are using, there are several steps to ensure that you are getting the best from learning analytics.
Goals
Before you even consider the data, your first step is to understand and define what it is you want to achieve. Of course, the ultimate goal is to improve learning outcomes and equip your workforce with the skills and knowledge that help you achieve your strategic business goals. But to do that, you need to be sure that every aspect of your programs is optimized to meet your needs and those of your workforce.
Some of the goals you might consider include:
Measure levels of engagement in programs.
Effectiveness of learning programs including individual modules.
Evaluate any learning/remote learning offered.
Analyze learning outcomes.
The thing to note is that there is no ‘one size fits all’. Different organizations will have different needs when it comes to learning programs but ultimately, you want to be able to see how well your programs work. Whether learning about a call center cloud system or learning new communication technology, you want to be sure that all the programs are effective.
Identify data sources
To properly evaluate learning programs, you need to source data from multiple places that are not always part of your program. For example, suppose employees learn how to use new machinery. In that case, you may want to source data relating to output and productivity as this relates both to the machinery itself and to the skills your staff have learned.
Your learning platform (internal or external) will likely be the richest source of data available. What’s important to note is that you should unify your data into one large dataset that will make analytics more straightforward. Unified data means that you can:
Identify and share benchmarks for different programs and modules.
Evaluate the effectiveness of different programs and learning methods.
Compare different types of content to see what learners prefer (a sort of educational A/B testing).
Implement personalization where needed and appropriate.
Your data sources may be varied but will usually include data from:
Any learning platform(s) used.
Your learning management system (LMS).
Devices used for accessing training.
Any enterprise-level systems used.
Any relevant systems within your business such as sales figures.
Human resources systems.
Third-party data where relevant.