How Should Leaders Use Decision Science - Michael Brink

Published: Sept. 8, 2020, 9 a.m.

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In this episode, Michael and I discussed his perspective on data science along with what is the role of a data scientist and how has it evolved with the explosion of no-code tools that has democratised access to the technology.

Having spent the last 5 years building solutions in the payments, fin-tech and consumer retail space, Michael is a data scientist and entrepreneur whose favourite component of data science is predictive modelling and story-telling.

Here\\u2019s a very insightful quote from Micheal:

\\u201cThat the most powerful thing that any business can do today is to start storing data effectively, capturing data comprehensively and sharing it collectively across the business.\\u201d

We covered a lot of ground in this discussion, so I encourage you to have a listen for yourself. Here are some key points in this podcast episode:

\\u27a1\\ufe0f The in-depth definition of data science from a data scientist. What does a data scientist do?

\\u27a1\\ufe0f Decision science versus data

\\u27a1\\ufe0f The application of data science in a more scientific approach that influences the decision making of a company.\\xa0

\\u27a1\\ufe0f Is decision science and data science into the day to day operation of the business still lacking in a lot of organisations?

...and more!\\xa0

Michael Brink

Michael is a data scientist and entrepreneur who has spent the past 5 years building solutions in the payments, fin-tech and consumer retail space. His favourite component of data science is predictive modelling and story-telling.

He founded BalloonBox Technology Inc. shortly after moving from Cape Town to Vancouver in February 2019 with the goal to improve decision making logic for business by harnessing data to adopt a fact-based approach. When not solving problems, Mike spends his time in BC' mountains hiking, riding or running and would love to explore bio-mimicry applications in his spare time.

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