Define CRM and SCM systems by describing their characteristics and components, explain each of the two main types of data analytics that exist – descriptive and predictive – including how each works. Critically evaluate how, and for which purposes, data analytics can be applied in conjunction with CRM and SCM systems. Refer to concepts learned in class and use examples to illustrate your arguments.

Discuss the concept of data integration in data warehousing. Why is it essential for effective data analysis in business intelligence?

Develop a simple data model for a student data- base that includes student contact data, student demographic data, student grades data, and student financial data. Determine the data attributes that should be present in each table, and identify the primary key for each table. Develop a complete Entity Relationship diagram that shows how these tables are related to one another.

Explain how the use of secondary source of data (news articles) can be used as supporting infomation for the following research topic: COVID-19 : A Threat to the Financial Resiliency of Marriott Caribbean Hotel Employees.

Describe the key features of CRM analytics and reporting for tracking sales and customer service performance.

How do you distinguish among a casual analysis, a statistical analysis, and a Pareto analysis? Which of the following categories best describes the ODC approach?

An ethical statistical consultant would not always     Multiple Choice   follow accepted statistical procedures.     support management’s desired conclusions.     acknowledge sources of financial support.     report limitations of the data.

1)What is the importance of data analysis? How can it help you understand whether the new product had a successful launch? What are you reporting on and what are you analyzing? Why is it important to analyze this information?  2)Describe the results of your analysis. What does the data tell you about the success of the product throughout the year? Was the company able to meet its profit goal? What data did you use to determine whether the product is meeting expectations?  3)Create data visualization in excel to show: How have the costs of goods sold (COGS) changed over the course of the year? and on a second data visualization, show How has the profit percentage changed over the course of the year?) Explain what type of chart this is and the insights it provides about the success of the product launch. 4)Restate the purpose of your analysis and summarize your most important findings.

In respect of primary and secondary data compare and contrast: 1) The main differences between primary and secondary data 2)The advantages and disadvantages of primary and secondary data

How can predictive analytics be applied in CRM to improve customer engagement and retention? Provide real-world examples of predictive modeling in CRM.