Limitations of traditional Data Analysis

 

Limitations of tradtional Data Analysis come in a number of different ways


Data quality- The datas quality is measured based on if there are biases or missing data.


Sample size- the size is measured based on the actual size of amount of data collected from the people questioned. The more people that are questioned the more valuable the data becomes.


Limited scope- the limited scope is really something that can be changed by the people doing the data analysis
. a common assumptions made during these data analysis is that the questions were handed out equally to people.


human error- This is just when someone makes a mistake in there working. this could be at the gathering of the analysis of the data. If the data is wrong due to human error it will make it useless and cannot be used.

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