Using Data To Improve Employee Training

Brigg Patten

Employee training has always been an immensely valuable part of the business process, and in today’s highly competitive global market it is more important than ever. Thanks to the recent introduction of semantic and adaptive learning courses, the employee training process will become more data-driven and transparent. According to many top business experts around the globe, Big Data will increasingly contribute to the employee training process, improving the overall experience for employees, managers, and the customers they serve.

With Big Data growing exponentially and an estimated 4.4 million new jobs in 2016, it  stands to reason that businesses will be able to find some exceptional ways to integrate data into their employee training programs to improve performance, efficiency, and customer service. Following are several exceptional ways that data is currently revolutionizing employee training.

Measuring the effectiveness of training models

Data will enable businesses to develop precise analytics that measure the effectiveness of specific training methods, based on specific aspects of the educational process such as employee comprehension, program proficiency, and program efficiency. As most companies use training software, data will be able to provide unique insight into how employees are interacting with the software. It will also let companies track the learning processes of employees to identify which elements are working and which are not.

Continuous seamless adjustments based on employee feedback

One of the most effective ways to measure the effectiveness of any mechanism is through feedback from those who use it. Data will provide the opportunity for authors of e-learning software programs to receive anonymous feedback from the employees who use them. They will be able to collect data on each individual exercise as well as measure the performance of the program as a whole. Understanding how learners use and respond to courses will give the authors better insight on how they can improve the teaching components within the software product.

Developing an understanding of people factors

The purpose of employee training is so that their work will ultimately result in a better experience for the customer. Even employees who don’t have direct contact with customers can impact the customer experience. Data provides insight into the customer’s idiosyncrasies and what they are expecting. When companies understand what the customer expects, they can more effectively design and customize software to train employees to successfully meet those expectations.

Personalized training and learning

People acquire and process information differently, and not everyone learns the same way. Data acquisition and compilation will allow companies to better understand how each employee learns and what types of training methods work best for them. This data will help companies provide training that is learner-specific, optimizing the learning experience for each individual employee. This means that training modules can be tailored to meet the individual needs of each learner, providing them with a high-quality, meaningful training experience.

Lastly, process agility is becoming increasingly prevalent in business, and data provides the agility necessary to make on-the-go changes to ensure their training programs are always functioning optimally.

Big Data has already proven that it is more than a trend. More and more businesses are discovering that use of data can provide the competitive edge they need to remain relevant in a business world that is evolving at a rapid pace.

Want more effective training strategies? See Employee Training On A Budget: 10 Tips For Small Businesses.


About Brigg Patten

Brigg Patten writes in the business and tech spaces. He's a fan of podcasts, bokeh and smooth jazz. His time is mostly spent learning the piano and watching his Golden Retriever Julian chase a stick.