Discussion Post: Analytics
Part I
• 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.
Part II
• How do you describe the importance of data in analyt- ics? Can we think of analytics without data? Explain.
• Considering the new and broad definition of business analytics, what are the main inputs and outputs to the analytics continuum?
• Where do the data for business analytics come from? What are the sources and the nature of those incoming data?
• What are the most common metrics that make for analytics-ready data?
The response must include a reference list. Using Times New Roman 12 pnt font, double-space, one-inch margins, and APA style of writing and citations.