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Discussion
Focus is on CRM and Analytics.
Five years ago, the Wall Street Journal reported online travel booking company Orbitz Worldwide Inc. was steering people who used Apple computers to pricier hotels than Windows users. Orbitz officials said data analysis revealed Apple users were willing to pay higher nightly rates, so the company put the most expensive rooms at the top of the search results pages they saw.
Businesses are applying analytics to customer data at an exponential rate in order to tailor the user experience. When data analysis results in different customers being offered different products or prices, there's the possibility for problems related to privacy and fair business practices.According to Pam Dixon, founder and executive director of the World Privacy Forum, a research and policy analysis group in San Diego, "Determining whether someone is going to be a loyal customer is fine. But then if you're changing the way you treat your customer based on that, that's where the questions come in."
Here is your Task for This week: If you were the Director of CRM Ethics, what measures would you put in place to make sure customer data was being used in ethical manner and how would you enforce it? If you say fines, how much? Please don't respond with "It Depends." If you provide the same answer as a classmate, I will be looking for a different spin.
Design a dimensional model for analysing Purchases for Adventure Works Cycles and implement it as cubes using SQL Server Analysis Services. The AdventureWorks OLTP sample database is the data source for you BI analysis.
Design a Database schema
Create an entity-relationship diagram and design accompanying table layout using sound relational modeling practices and concepts.
Implement a database of courses and students for a school.
Energy in the home, personal energy use and home energy efficiency and Efficient use of ‘waste' heat and renewable heat sources
Design relation schemas for the entire database.
Prepare the relational schema for database
Data Modeling and Normalization
Use Cases Perform a requirements analysis for the Case Study
Knowledge and Data Warehousing
Identify and explain the differences between a stack and a queue data structure
Practice on topic of Normalization
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