Traditional data analysis

 6.    What is Traditional data analysis (descriptive and inferential)?


 

 


    Traditional data is the structured data which is being majorly maintained by all types of businesses starting from very small to big organizations. In traditional database system a centralized database architecture used to store and maintain the data in a fixed format or fields in a file. For managing and accessing the data Structured Query Language (SQL) is used.


3 Characteristic of Traditional Data:

·      Traditional analytics is static.

 

Traditional data analytics typically relies on dashboards composed of visualizations. These dashboards are based on common business questions and are predefined well in advance.

 

·      Traditional analytics answers “what.”

 

Traditional analytics answers a series of “what” questions and leaves the user to determine “why” through their own analyses.

 

·      Traditional analytics is driven by hypotheses.

 

Dashboards are typically predefined based on common questions or a certain view of the business. These dashboards are inherently biased because they predetermine what’s most important and only show the data that’s relevant to that set viewpoint.


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References:

https://www.aberdeen.com/featured/blog-ai-analytics-vs-traditional-essential-differences/


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