How does data science applied to training improve business performance?

Why use data science in business?

Professional training helps boost a company’s competitiveness by focusing on the development of its employees, who thus become increasingly productive and committed. It represents a real financial investment that deserves to be highlighted thanks to the analysis of the data, allowing to show concretely, the contribution to the company and the return on investment that it generates.

• This exploitation of training data revolutionizes the management of Human Resources because it allows to :
• Manage the training budget in real time and thus ensure a better distribution,
• Propose dashboards to present the KPIs and the results of the training courses in a simple way,
• Quickly highlight trends in terms of training preferences, skills developed and population trained.

Data training can be used for many purposes, but the foundation of its application in business is the search for productivity, competitiveness and performance.

How does data science help improve business performance?

Data science does not only allow to analyze a situation in real time. The stakes are much higher when it is also used for predictive purposes. A company can thus improve its training offer through data analysis to :

• Feed the recommendation engines to suggest suitable training courses according to preferences and training objectives,
• Suggest modules that other users who have taken the same training have also consulted to offer a better level of customization,
• To extract the level of skills acquired by learners and, consequently, to predict the resulting performance,
• Anticipate the skills to be developed in order to recruit externally according to the need or train internally by focusing on the points of improvement.

In short, data training allows a company to develop a more relevant and attractive offer in order to develop the skills of its learners and thus make it more efficient.

The company is not the only one to benefit from data training. The employee benefits from a better user experience thanks to adapted learning, and saves time thanks to personalized proposals.

It is important to note that not all employees learn in the same way. By cross-analyzing assessment results and learning habits, it will be possible to identify each learner’s learning style and provide them with the training experience that best meets their needs.

The benefits of data training are now well identified, but we must not lose sight of the fact that data analysis also involves risks.

What is the benefit/risk ratio of Data Science applied to training?

It is proven that a better employee experience in professional training leads to increased success, engagement and retention of learners.

An efficient study of training data allows the implementation of adequate development programs and the identification of appropriate candidates for given positions.

The use of data seems to hold the promise of performance and better knowledge of employees within a company. Nevertheless, it is necessary to take certain precautions to ensure that they are always used appropriately, as confidentiality is essential for maintaining the privacy of employees. GDPR and data security should also be a focus when using personal data.

The objectives to be achieved and the use made of them must always be transparent and controlled. Let’s not forget that the human aspect is the key to Human Resources. Therefore, the benefit/risk of data training depends on it.

At SQORUS, people are at the top of our values. We are ready to accompany you on this path. Do not hesitate to contact us to discuss it.

Sources:

• crossknowledge.com
• Bersin, Predictions for 2017: Everything Is Becoming Digital, 12/6/2016
• e-relation-client.com