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Part1) 

   a) Why are the original/raw data not readily usable by analytics tasks? What are the main data preprocessing steps? List and explain their importance in analytics. 

   225 Words + 2 References

Part2) 

   a) How do you describe the importance of data in analyt- ics? Can we think of analytics without data? Explain.

   b) Considering the new and broad definition of business analytics, what are the main inputs and outputs to the analytics continuum?

   c) Where do the data for business analytics come from? What are the sources and the nature of those incoming data?

   d) What are the most common metrics that make for analytics-ready data?

   Min 200 words answer for each question.

Checklist:

APA Formatting

Part1 and Part2 needs to attached as two separate docs

Atleast 2 references for each part

Plagiarism report