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Message added by Mayank Gupta,

Data Science is the field of making sense out of data. It utilizes the understanding and concepts of statistics, analytics, mathematics and processes to get insights from the large amount of data (both structured and unstructured) that organizations collect.

 

An application-oriented question on the topic along with responses can be seen below. The best answer was provided by Vinay on 10th Dec 2020.

Featured Replies

Q 320. Data scientists are good at data analytics while business managers are good at business acumen. What are some of the approaches that help in creating synergies between the two?

 

Note for website visitors - Two questions are asked every week on this platform. One on Tuesday and the other on Friday.

Solved by Vinay G

  • Solution

Data scientist are good with data analysis, tools and techniques, however they always need business managers to help them with domain knowledge.

There could be few things which can be done for creating synergies between the two.

1. Business Managers should go through high level training on various tools used in data science. This will help business managers to understand challenges data analyst is facing.

2. Data analyst should have regular governance meetings to update business managers on progress so that analyst can do course correction if required.

3. Model created though may learn automatically through additional data but analyst should constantly keep checking accuracy of model and see if any parameter changes the dynamics with consultation.

 

Many have tried combining the roles, like business managers getting trained on coding and in my experience it doesn't work.

Vinay G has given the best answer to this question. He has rightly pointed out the methods that could be deployed in creating synergies. His answer also highlights things that may not work.

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