Why is it important for a statistician to take the culture of the first mover advantage on a more personal level?
How do the first-mover advantages help the personal and professional growth of a statistician?
What does it take to be the first mover?
How does being the first mover solve problems early?
How do you develop the motivation to be the first mover?
In this conversation, we talk about the effective impact of the first-mover advantage. To give a more visual distinction of this strategy, it is more like a chess game where the first mover often decides the direction of the game.
In statistics, this attitude offers a more effective sense of understanding what the first move culture is all about.
Here are some of the lessons that are presented in this conversation:
- First Mover Advantage gives the statistician the power to direct development and growth in relation to the creation of new solutions to problems that arise in the beginning and even in the third phase of the research before they are released for actual application by pharma companies.
- The consideration of the first mover advantage requires that a statistician be more detailed in checking the data and using such advantage to offer a more effective solution to existing issues.
- There is a need to start up early in determining the problem and communicating it with others.
- For a person to take the first mover advantage, there is a need to speak out. It takes courage to do so, but with the right confidence and the right motivation, reaching out to the audience is easier and more effective for statisticians to consider.
Listen to this episode, you would be able to get the best value you can apply in your own profession as a statistician and as a leader in the industry.
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I want to help the community of statisticians, data scientists, programmers and other quantitative scientists to be more influential, innovative, and effective. I believe that as a community we can help our research, our regulatory and payer systems, and ultimately physicians and patients take better decisions based on better evidence.
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