Innovation

Interview with Mike Smith

Why do we need to innovate?
What are the drivers for innovation?
How much time would you invest in something if it made an awful task more bearable?

I really enjoyed this interview with Mike as we talked about his award-winning presentation.

Mike and I discuss innovation and the different factors that affect it. We specifally mention the following points:

Napoleon Hill is an interesting author and quite controversial but still good content to reflect upon.

In this episode, I want to reflect on:
Why people fail in their careers?
What hinders us from getting to the career goal set we have?
How can we avoid doing the same thing in our own life?

Here are some major causes of failure:

Do you currently run an initiative?
Do you want to get support or budget for an initiative?
Do you want to change the design or analyses of a study?
Do you need to run it past a committee or a senior person?

In this episode, I talk about these 4 important advice if you want to engage with key people in your organization:

Today, I am talking about a topic that is very close to my heart. I want us, statisticians, to have an impact. I truly believe that if we make better decisions in our day-to-day jobs in our companies and organizations, then we can truly have a much bigger impact on the overall success of these organizations.

Being brilliant at stats is important, but it is not the only thing one must be good at. In this episode, I talk about my good and bad experiences and discuss what we can learn from them. I also discuss the following points:

Why do you need personal leadership principles?
How can you refine and reflect them?
What kind of leader do you want to be?
Is it possible to be a leader even without a title?

I will talk about personal leadership today and this is not being a leader by position, but by principle.

I will be talking about these interesting points:

To give you an update, I’ll be sharing with you what I have learned from the past year about visualization as I worked a lot of these – the exploratory and explanatory visualization.

These kinds of visualization helped me a lot to open new doors and made me amazingly easy to stand out from other statisticians. In this episode, I am sharing the following points: