Limitations of Traditional Data Analysis

 Here you have some of the most important limitations that I can mention, specially when compared to more advanced approaches like big data analytic and artificial intelligence. One of the limitations is the poor possibility to anticipate future trends and take proactive measures, manual resources and resource intensiveness, limited scalability, static models, etc.

Traditional data analysis often requires significant manual effort that means that analysts spend considerable time collecting, cleaning and analysing data and this process can be time consuming and resource intensive, specially in time sensitive situations.

In summary, while traditional data analysis has its place, organizations are increasingly turning to big data analytics and AI to overcome these limitations and gain deeper insights from their data.

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