Research Analysis – Data Mining

Directions
Prepare a professionally written paper detailing differences between data, information, and knowledge.
Apply learning from research on differences between data, information, and knowledge providing at least three examples of each detailing why the classification of data, information, and knowledge has been assigned.
After addressing the applied learning exercise, conclude your paper with details on why it is important to understand differences between data, information, and knowledge in all applications toward data analytics in any aspects toward data analysis, data mining, and data modeling.
Use visualization tools in the conclusions as a way to show how data becomes information and then becomes knowledge.
Expectations toward creating illustrative process flow diagrams does not require perfection; however, this is a design skill all working professionals need to have where any aspect of management and decision making is required.

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