There are many people that are involved in the turning of data from the raw data that we collect to ensuring that the information is useful to everyone and easily understood and among the various people, a data scientist is one of these people.This whole process as to the way useful information is extracted from the data is what the data scientist refer to it as data science. One of the many areas that a data scientist can be able to show their expertise is in the bank where they can be able to determine the money that the bank makes from the payed mortgages which ends by determining the number of loan officers that they should hire. It is important that the data scientist understands the objectives if they want to get the full information that you need from them.
Before the information is provided, the data that the scientist has been able to collect or presented with should be relevant to the objectives. Incomplete data is not something that you should be able to provide to the scientist since it cannot be able to provide you with the relevant info that you need.The relevance of the outcome will only depend if the data that you had collected is up to date and also accurate to the work that you are doing.For you to be able to answer some kind of a general question, it requires you to have enough data that can be able to cover the wide range of scope that you want to cover. Data scientist mostly focus on the asking of sharp questions to the people that they seek to collect information from.
The use of sharp questions makes sure that they do not provide you with vague answers. Data scientists have different stages that they have to go through before they are capable of providing useful information to the person who needs it. Raw data is said to be collected from the area presented by the data engineers who get to assemble all the relevant info that they need to come up with useful info. It is then the duty of the data scientist to come up with the relevant info from the data they have been presented with. At this point, any question asked to the data scientist can be confidently answered with facts that can be understood by any individual. For the layman to be able to understand all these solid facts and figures, it is now the duty of the data analyst to ensure that the information is simple to understand.