Traditional Data Analysis Limitations

 Traditional Data Analysis Limitations 





Traditional Data analysis has many limitations including the fact that it cant handle complex or big data sets like big data can but it has other limitations too such as the fact that it does not have a big scope making it very limited and unable to handle complex data and data that changes in real time. Another limitation it has is that many traditional statistical methods assume the data follows a normal distribution so if the data deviates even slightly then the data will be unreliable to us instead of being useful. Also traditional data analysis lacks flexibility in adapting to unconventional data types, distributions or complex structures which limit their applicability in some situations. Traditional Data Analysis is not good for big data either as traditional methods will most likely struggle with large datasets due to computer limitations and they may not be optimized for dealing the complexity of big data. Finally humans are another reason for the limitations and its because humans make mistakes and analyzing data is a big process so we are subject to making mistakes not only in analyzing but also in collecting the data and storing etc.


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