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Limitations of Traditional Data Analysis

 Some limitations of traditional data analysis are:

Lack of data sources meaning that it relies solely on very particularly organised data such as ones through surveys, interviews, questionnaires or really any other form of data collection. Because of this it’s limited to give a complete picture of what the business world it truly like. 

Limited scope means that it’s most often limited in information and provides insight to a specific part of the business world. For example, a survey about customer experience at a business may say that the employee was rude or unkind but it doesn’t give an insight about how the customer may have behaved to receive this kind of treatment. 

Another part is that it’s time consuming to complete because if this it means the business can’t make decisions fast or efficiently. An example would be that if a survey or questionnaire took a long time to be taken and additionally to be sorted and analysed which can take weeks if not months to be finished. 

Some other examples are that it isn’t always accurate and can be very prone to many mistakes and things that aren’t true for example a questionnaire may not reflect everyone’s thoughts and feelings and only a very select few. 

A final examples would be that it can be very expensive and require particular resources to complete which makes it particular different for small businesses for example to complete and make difficult choices. 


https://fastercapital.com/topics/the-limitations-of-traditional-data-analysis-methods.html



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