Nala's Chief Data Officer and the advanced people and talent analytics model: “We have to ensure it is interpretable and actionable”

Nala's Chief Data Officer participated in the webinar People and Talent Advance Analytics: Outsourcing VS InHouse models and discussed the application of Data Science to people management and how Nala can be an ally for organizations. 

Is it more efficient to develop and maintain People and Talent Analytics tools internally, or to seek a partnership with an expert in the area? This was the great debate addressed in the webinar “People and Talent Advance Analytics: Outsourcing vs Inhouse Models” organized by Nala on May 25. 

The session was moderated by Nala cofounder María Fernanda Castillo and the speakers were Gerzo Gallardo, Director of Data & Analytics at NTTData, and Carlos Castillo, CDO of Nala. The latter spoke about the application of Data Science to people management. In his intervention, Carlos emphasized the importance of using talent management metrics to measure and evaluate employee performance based on their skills and competencies. Likewise, he highlighted the capability of advanced analytics models to predict success in leadership and talent management.

For this, he stressed the relevance of understanding the current state of data and information within the company and the need for continuous updates. He also emphasized how fundamental it is to establish clear objectives and use advanced analytics models. 

Once the model is implemented, a key point is that it not only provides results but also offers explanations and recommendations for action, since interpreting the model’s results is crucial for effective decision-making, Castillo stated. 

“If you cannot make decisions based on the model’s results, it’s as if you haven’t done anything,” explained Nala’s CDO.

“At Nala, we have always been very focused on ensuring our models include some recommendations so people know what to do; it’s not just about demonstrating a perfect model. What we have to seek is that the model is also interpretable and allows people to take actions based on the information we provide,” he said. 

You can watch Carlos’s intervention here:

The full webinar is available here: https://www.youtube.com/watch?v=ISuDglYdMFw&t=998s