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How to Use Data Analytics in L&D to Enhance your Corporate Training

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Data analytics in L&D

Data and analytics are some of the most powerful tools in the modern world. The same is true for the corporate training segment. And in the hands of a capable L&D team, it can provide magnificent results. Let us dive in to understand how to utilize data analytics in L&D to enhance corporate training. We understand how capturing valuable data and performing analytics can boost your training and develop a better training strategy.

Why Do We Need Data Analytics?

Over time, organizations have drastically reduced the number of resources used for corporate training. This has interestingly led to a rise in courses being designed on data and analytics. The average time allocated to training has reduced dramatically. And many organizations do not even provide on-the-job training. 

This has led to a fascinating insight. It shows a reluctance by organizations to spend much on training budgets. This has not mixed well with the fact that the need to train is growing rapidly. With new technologies emerging constantly and the ever-changing workspace dynamics, companies can’t simply expect employees to learn without any external support. 

Modern employees are not only skilled but are also multitaskers and much more intuitive than previous generations. Additionally, they are also more accommodating towards changing job markets. Therefore, they are likely to be new to the job role, company, or working environment. 

By using data analytics, L&D and training managers gain a better idea to design courses that are clear and effective in conveying the required information. It also gives insights into what style of teaching learners respond to and what content works best. Furthermore, it also provides data on what doesn’t work and can then be removed accordingly. 

The result is training programs that deliver better results concerning the ROI. To understand more, check out our blog on measuring the impact of training programs on the business.

What Does Data Analytics Mean for Organizations?

While we have frequently talked about how data analytics is essential for L&D teams, what do we mean by it? Let’s take a look at some of the factors that constitute data analytics.

KPI (Key Performance Indicator)

In understanding and designing training courses, most L&D teams always need to identify KPIs. These indicators are used for tracking course designs and their overall progress. Additionally, they can also be used to measure performance against expenditures to determine the ROI.

For instance, you might want to find out if your new data obtained will help develop a new strategy or increase your course engagement time. You can use your LMS platform to filter and refine the information according to your requirements before generating your reports. Thus allowing you to analyze the data more effectively. 

Reports

L&D professionals deal and interact with different kinds of reports on a nearly daily basis. Such as the KloudLearn Custom Reports.

Reports are statistical and visual depictions of the data collected by the learning management system. Reports provide a significant number of details such as the learner’s progress vis-à-vis the course, the amount of time spent on courses, which courses learners are often choosing, and more. 

This makes reports an excellent tool for course designers, L&D teams, and trainers to get a window into the reality of the training programs and how to improve their training based on these reports. 

How to Use Data Analytics to Design Corporate Training Courses

In recent years, there has been a shifting trend in favor of corporate training. Data analytics in L&D have shown the importance of incorporating training as a significant aspect of employee satisfaction. There are a few ways to boost your corporate training by using the power of data analytics. 

Course Content Design

To design your customized training courses, you can use the data on the performance of the employees and other KPIs as a reference point. Learning how employees prefer consuming the course and what content they are keen to learn will make the design process more manageable. This also increases employee engagement as they will more likely be engaged towards courses they want to learn. 

For instance, if you find that learners have completed interactive courses faster than just text-based courses, you will then be able to modify further courses to get maximum output from your courses. 

KloudLearn provides powerful course authoring tools that allow you to create courses and content according to your organizational needs. Now creating learning material for training will no longer be a tedious task. 

Adapting Towards Learner Preference

you can optimize existing content and utilize it with the help of data analytics to reveal learner strengths and weaknesses. Additionally, it will also help to understand learner’s preferences and tailor the learning path accordingly. Knowing these trends will help to adjust the training accordingly. 

Adaptive learning is one approach by which you can enable content flexibility. They provide course content based on the learner’s likes and dislikes. KloudLearn uses the Learning Experience Platform (LXP) to tailor course recommendations according to the learner’s behavior. It looks at historical data of completed courses and decides which courses to be recommended to the learner. 

Microlearning is yet another method of flexible learning technique that allows learners to use their strengths. It provides the learning material in short, digestible sections that will enable employees to learn more efficiently. 

For more information, check out our blog on microlearning.

Assessments

Collecting feedback and suggestions from learners is a great way for data contextualization and understanding any underlying trends. Analyzing data on what learners think about the course, how they have performed allows them to find areas that might have been previously overlooked. Consequently, this helps training managers and L&D teams to modify the future course of action. 

Adding a feedback system to your LMS is an excellent way to start and collect data. Using email newsletters, you can reach out to your employees to submit their thoughts. Alternatively, you can also use a feedback form embedded at the end of the course to obtain feedback immediately. 

Final Thoughts

Data-based training is the future of corporate training. It is the most efficient and cost-effective to design and implement courses. Therefore, If your organization needs additional help in using and implementing data for corporate training, KloudLearn is the best option for you.

Our autonomous training platform allows you to design courses as per your needs. Our Analytics and Reporting Features provide comprehensive data points for analyzing employee performance and capabilities. Join KloudLearn to learn how we can use the power of data analytics to elevate your corporate training. Schedule a demo today. 

 

KloudLearn Product Updates : July 2021

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