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A data scientist makes sense of the unstructured and chaotic data. They reduce the horrors of uncertainty for organizations. Data scientists, like the name suggests looks for the questions and research on the answers. The business might not know the issues lying underneath. To get the right answers, you need to ask the right questions. Data scientist asks the questions examining the huge volumes of data.

Here are a few ways why data scientist is important in an organisation with huge volumes of data:

1. Helping the management take data enabled decisions.
2. Data scientist uncover the insights which was never known before
3. Data scientists creates the standard process of testing their hypothesis.
4. They help in converting the numbers into actions and give a direction in defining goals
5. Focus on what matters at the moment and devise an action plan. Eg. Where should I run the campaign ads to convert the potential leads within allocated budget.
6. Identify the potential opportunities and target audiences.

Now how do we know if the decisions taken by the management after analysing the data is correct? Data scientist can test the decisions. They can build a model around the variables and set measures to define the decision’s correctness. From google analytics to survey monkey, from google forms to automated inputs, all the data are collected by the data scientist to test the model to prove the success criteria of a decision.