Learning & Development

The Importance of Automated Data Analytics for E-Learning

In 2019, it’s important for organizations to have a learning management system (LMS) that’s based in the cloud because cloud-based LMSs allow them to take full advantage of automated data analytics for their e-learning initiatives and programs.

eLearning

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Without automated data analytics, an organization’s e-learning programs won’t ever be successful. Why? Because automated learner and e-learning program data analytics help organizations do the following.

Implement More Personalized Learning Experiences

With automated data analytics, your organization’s LMS will be able to offer e-learning experiences that are more personalized and relevant to each individual learner in real time.
An automated LMS that relies on data analytics will be able to quickly parse learner data and program data to recommend additional and relevant learning materials or content to employee learners, as well as additional courses or programs that are aligned with their aptitudes, roles, career goals, and interests.
Employees are beginning to expect more personalized learning experiences inside the workplace across industries. And research continues to suggest that personalization improves employees’ workplace experiences and performance.

Upskill Employees Faster and More Efficiently

With automated data analytics, your organization will be able to quickly identify what skills your existing employees need to learn based on their current aptitudes and the demands of their current roles, as well as the trajectory of their current roles or career paths at your organization and within your organization’s industry.
For example, you can use automated data analytics to know when your marketing team will need to learn new digital skills based on their performance data, customer data and feedback, outside industry data, etc. You’ll also know when your marketing managers need to learn new skills or access new e-learning experiences to better lead their teams based on data analytics … and, so on.

Focus on More Engaging Learning Experiences

With automated data analytics, you’ll be able to know which e-learning courses and experiences learners engage with the most, as well as which courses and experiences lead to more engaged and productive workers with better performance.
For instance, you’ll know when learners don’t find an e-learning course engaging based on whether they complete the course and how often they interact with the course, etc. And you’ll be able to tell if e-learning courses lead to improved employee performance with automated data analytics. Automated data analytics can also tell you if sales employees land more sales or leads after they’ve completed a certain e-learning sales program.

Enact Greater Workforce Productivity

With automated data analytics, your L&D team will be able to focus more on improving and developing e-learning courses and experiences, instead of manually analyzing and administering learner data and feedback. So, they’ll be more productive.
Likewise, learners won’t have to wade through irrelevant or disengaging e-learning materials or experiences, so their e-learning experiences will be more productive overall, which will lead to higher knowledge retention rates and workplace productivity rates.
Essentially, automated data analytics will ensure that your e-learning courses and programs are personalized, timely, and engaging, which will lead to a more productive, competitive, and successful organization.