In: Operations Management
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Data analysis is defined as the process of transforming, cleaning and modeling of the data to discover the useful information by integrated and coverting the data for decision making abilities of the organisation. Thus, having the process of exploration and examination of the data plays a key and integral role for the data analysis perspective. Exploring which data is being collected and coverted and Examining if the data is being converted into the required information in both effective and efficient manner helps in analysing the data and the purpose served by itself. This process of examination and exploration jelps in extracting useful informatiom from the data and then making the right decision based upon the same data analysis.
The measures of association refers to using wide variety of coefficients (including the correlation and regression coefficients) which helps us to measure the direction and the strength of the relationship between the variables used. Thesemeasures of strength and the direction of these variables also called association can be described in various ways depending on the type of data analysis undertaken.
Thus, studying the same importance for the measures of association we can see that how important role it plays for the research conduction and proposal. Without having to know what is the relationship that exists between the two variables, we cannot make a impactful research proposal where the document wouldn't be able to prove the research project successfully and the potential benefits and costs it hold on the basis of the same result and behaviour of the two variables.