Why is Data Collection important in Engineering Data Analysis.

Solutions

Expert Solution

Engineering Data Analysis is a process of implementing data analysis process. It is the process of analyzing the collected data and evaluate to make it reliable and clean data. It involves data cleaning, data inspection, data transforming etc..

So the main objectives of this Engineering data analysis is based on "data".

For this process, data collection is very important step because the collected data is used for analyzing process.
This data is collected from different sources to analyze and it is used for research. The collected data is analyzed and build into a model.
This data collection involves gathering information from different areas/fields which is used for decision-making models.
The data collection is very important step because in data analysis process, the data which is information-rich is required.
The collected data is used for answering research questions, statistical analysis and evaluate outcomes.
In Engineering data analysis, the engineers learn to analyze the data to make it reliable and accurate which is used for giving solutions to complex problem. Therefore, "Data collection" is important in Engineering data analysis.

venereology answered 1 year ago

Next > < Previous

Related Solutions

why data collection is important for market researchers?

Why is proper nomenclature important in an engineering environment? Why is it important during an engineering...

Why is proper nomenclature important in an engineering environment? Why is it important during an engineering economic analysis? Give a scenario from either your mechanical engineering experience or from your personal life where nomenclature affected a decision or outcome?

Discuss data validity and reliability, Why are they important? How do data collection techniques impact data...

Discuss data validity and reliability, Why are they important? How do data collection techniques impact data validity and reliability?

Why is it important for data analysts to understand the mathematical foundations of analysis?

Why is it important for data analysts to understand the mathematical foundations of analysis? Explain what objects are in R, and how they are used. Provide at least 2 examples. Explain how programming depends upon the relationship between arrays, vectors, and matrixes. Provide the URL for at least 1 professional resource that you will use as a professional data analyst. Explain the benefits of using this resource.

Discuss five sources of unstructured data and why analysis of these data are important. Use examples...

Discuss five sources of unstructured data and why analysis of these data are important. Use examples to support your answer.

Discuss five sources of unstructured data, why analysis of these data are important and use examples...

Discuss five sources of unstructured data, why analysis of these data are important and use examples to support your answers.

What is data saturation? When in the data collection process or data analysis process can data...

What is data saturation? When in the data collection process or data analysis process can data saturation be identified? How does a qualitative researcher know that he or she reached data saturation?

How methods of data collection and analysis jeopardise external validity ?

Give a example for a simple engineering problem which includes, ProblemDescription, Data and Information/Collection, Definition of...

Give a example for a simple engineering problem which includes, ProblemDescription, Data and Information/Collection, Definition of Design Variables , Optimization Criterions ,Formulation of Constraints with steps

Discuss one data collection and one data analysis technique that is frequently used in addressing marketing...

Discuss one data collection and one data analysis technique that is frequently used in addressing marketing analytics problems. Provide current industry examples to illustrate your ideas.

Subjects