1. Define data analytics in general and provide a brief overview of the evolution of utilizing data analytics in business.

Weight: 15%

Did not submit or incompletely defined data analytics in general; did not submit or incompletely provided a brief overview of the evolution of utilizing data analytics in business.

Partially defined data analytics in general; partially provided a brief overview of the evolution of utilizing data analytics in business.

Satisfactorilydefined data analytics in general; satisfactorily provided a brief overview of the evolution of utilizing data analytics in business.

Thoroughly defined data analytics in general; thoroughly provided a brief overview of the evolution of utilizing data analytics in business.

2. Analyze the main advantages and disadvantages of using data analytics within the industry or company that you have chosen.

Weight: 15%

Did not submit or incompletelyanalyzed the main advantages and disadvantages of using data analytics within the industry or company that you have chosen.

Partially analyzed the main advantages and disadvantages of using data analytics within the industry or company that you have chosen.

Satisfactorily analyzed the main advantages and disadvantages of using data analytics within the industry or company that you have chosen.

Thoroughlyanalyzed the main advantages and disadvantages of using data analytics within the industry or company that you have chosen.

3. Determine the fundamental obstacles or challenges that business management in general must overcome in order to implement data analytics. Next, suggest a strategy that business management could use to overcome the obstacles or challenges in question. Provide a rationale for your response.

Weight: 20%

Did not submit or incompletely determined the fundamental obstacles or challenges that business management in general must overcome in order to implement data analytics. Did not submit or incompletely suggested a strategy that business management could use to overcome the obstacles or challenges in question. Did not submit or incompletely provided a rationale for your response.

Partially determined the fundamental obstacles or challenges that business management in general must overcome in order to implement data analytics. Partially suggested a strategy that business management could use to overcome the obstacles or challenges in question. Partially provided a rationale for your response.

Satisfactorilydetermined the fundamental obstacles or challenges that business management in general must overcome in order to implement data analytics. Satisfactorilysuggested a strategy that business management could use to overcome the obstacles or challenges in question. Satisfactorilyprovided a rationale for your response.

Thoroughly determined the fundamental obstacles or challenges that business management in general must overcome in order to implement data analytics. Thoroughly suggested a strategy that business management could use to overcome the obstacles or challenges in question. Thoroughly provided a rationale for your response.

4. Analyze the overall manner in which data analytics transformed the industry or company you selected with regard to customer responsiveness and satisfaction.

Weight: 15%

Did not submit or incompletely analyzed the overall manner in which data analytics transformed the industry or company you selected with regard to customer responsiveness and satisfaction.

Partially analyzed the overall manner in which data analytics transformed the industry or company you selected with regard to customer responsiveness and satisfaction.

Satisfactorilyanalyzed the overall manner in which data analytics transformed the industry or company you selected with regard to customer responsiveness and satisfaction.

Thoroughlyanalyzed the overall manner in which data analytics transformed the industry or company you selected with regard to customer responsiveness and satisfaction.

5. Speculate on the trend of using data analytics for the chosen industry or company in the next ten (10) years. Next, determine at least one (1) additional type of data that one could collect by using data analytics. Provide a rationale for your response.

Weight: 20%

Did not submit or incompletely speculated on the trend of using data analytics for the chosen industry or company in the next ten (10) years. Did not submit or incompletely determined at least one (1) additional type of data that one could collect by using data analytics. Did not submit or incompletely provided a rationale for your response.

Partially speculated on the trend of using data analytics for the chosen industry or company in the next ten (10) years. Partially determined at least one (1) additional type of data that one could collect by using data analytics. Partially provided a rationale for your response.

Satisfactorilyspeculated on the trend of using data analytics for the chosen industry or company in the next ten (10) years. Satisfactorilydetermined at least one (1) additional type of data that one could collect by using data analytics. Satisfactorilyprovided a rationale for your response.

Thoroughlyspeculated on the trend of using data analytics for the chosen industry or company in the next ten (10) years. Thoroughlydetermined at least one (1) additional type of data that one could collect by using data analytics. Thoroughlyprovided a rationale for your response.

6. 3 references

Weight: 5%

No references provided.

Does not meet the required number of references; some or all references poor quality choices.

Meets number of required references; all references high quality choices.

Exceeds number of required references; all references high quality choices.

7. Clarity, writing mechanics, and formatting requirements

Weight: 10%