Strategies for Enhancing Subordinate Motivation and Performance Improvement from a Data Scientist's Perspective

〇Introduction

In recent years, data science has played a crucial role in various fields of business. However, its success heavily depends on the motivation and performance of subordinates. This paper proposes strategies for enhancing subordinate motivation and improving performance from a data scientist's perspective.

●Data-Driven Decision Making

Promoting decision-making based on data allows subordinates to objectively evaluate their performance and find concrete actions for improvement. This enables subordinates to enhance the accuracy of self-evaluation and find a concrete path for self-improvement.

●Education and Training in Data Skills

Teaching subordinates basic skills in data analysis enhances their ability to understand and utilize data. This deepens subordinates' insights into their work and enables them to devise more effective strategies.

●Participation in Data Projects

Involving subordinates in data analysis projects allows them to gain experience in utilizing data for real problem-solving. This enables subordinates to realize the value of data and find new ideas for improving their performance.

●Cultivating a Data Culture

Cultivating a culture of utilizing data throughout the organization allows subordinates to understand the importance of using data on a daily basis and find concrete actions for improving their performance.

〇Conclusion

These strategies are part of enhancing subordinate motivation and improving performance. The optimal approach may vary depending on each subordinate and team situation. Therefore, it is important to flexibly respond and adjust strategies according to the needs and expectations of subordinates.