The Data ScienceA recent specialty with a promising future, it’s becoming an increasingly common part of our daily lives. Examples include ad targeting in marketing, the automatic spam filter on Gmail, the intelligent search engine on Netflix, or personalized recommendations on Amazon. This science makes it possible toanalyze data to use them at the right time to make relevant, business-friendly decisions. The aim of this study is to identify trends and relationships that can be used to anticipate behavior or identify anomalies.

Data Science is revolutionizing a number of HR fields, such as Recruitment and Talent Management. Increasingly used in companies, it also affects most functions and areas such as professional training. Let’s focus on this last point.

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 through data analysis, enabling us to show in concrete terms the contribution it makes to the company and the return on investment it generates.

• This use of training data is revolutionizing human resources management by making it possible to :
• Manage the training budget in real time, to ensure better allocation,
• Propose dashboards to present KPIs and training results 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 improve its training offer by using data analysis to :

• Feed 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 higher level of customization,
• Extract the level of skills acquired by learners and, consequently, predict the resulting performance,
• Anticipate the skills to be developed in order to recruit externally as needed, or train internally, focusing on areas for improvement.

In short, training data enables a company to draw up a more relevant and attractive offer to develop the skills of its learners and thus boost its performance.

The company is not the only one to benefit from data training. Employees benefit from a better user experience thanks to tailored learning, and save 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, we canidentify each learner’s learning style and offer them the training experience that best suits 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’s a proven fact that a better employee experience in professional training leads to greater success, engagement and retention among learners.

An effective study of training data enables us to set up appropriate development programs and identify suitable candidates for specific 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. As a result, the risk/benefit ratio 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