Describe the importance of data in analytics

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Reference no: EM132766198

Discussion and exercises:

Chapter 3:

Discussion 1: How do you describe the importance of data in analytics? Can we think of analytics without data? Explain.

Discussion 2: Considering the new and broad definition of business analytics, what are the main inputs and outputs to the analytics continuum?

Discussion 3: Where do the data for business analytics come from?What are the sources and the nature of those incoming data?

Discussion 4: What are the most common metrics that make for analytics-ready data?

Chapter 4

Discussion 1: Define data mining. Why are there many names and definitions for data mining?

Discussion 2: What are the main reasons for the recent popularity of data mining?

Discussion 3: Discuss what an organization should consider before making a decision to purchase data mining software.

Discussion 4: Distinguish data mining from other analytical tools andtechniques.

Discussion 5: Discuss the main data mining methods. What are thefundamental differences among them?

Exercise 1: Identify case studies and white papers about data mining. Describe recent developments in the field of data mining and predictive modeling.

Reference no: EM132766198

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