20160913032937scenario1 x
For this paper, the student is positioned as the chief information officer (CIO) and is asked to lead an initiative to merge the data infrastructures of both insurance companies into a single consolidated data warehouse.
You will submit your data integrity and scrubbing portion of the plan. Review the scenario for the final assessment. Using the scenario, develop this portion of the project plan.
To meet requirements you will need to address the four aspects of this subsection of the proposal, which are as follows: 1) data integrity, 2) primary key(s), 3) customer data, and 4) duplicate data. The following critical elements will be addressed in this submission:
Data Integration and Scrubbing:
a) Data Integrity: How will you combine date fields with various formats (i.e., MMDDYYYY vs. DDMMYYYY)? What other data issues will need to be addressed?
b) Primary Key(s): What will you use as a unique identifier to combine the records? What primary keys, foreign keys, and indexes will you need to create?
c) Customer Data: Once the data is merged into the data warehouse, how will you be able to differentiate customers from Virtual World Insurance Company and customers from Maxon Insurance Company?
d) Duplicate Data: How will you eliminate duplicate records in the database to ensure data quality?
NEED GOOD CONTENT AND NO PLAGIARISM PLEASE.
REFER THE SCENARIO ATTACHED BELOW.
Attachments area
Scenario
Imagine
you are the chief information officer (CIO) for Virtual World Insurance Company, an
organiza
tion located in San Diego, California. It provides auto insurance coverage to more than
100,000 customers across the United States and currently has 100 emp
loyees. Virtual World
Insurance Company has recently acquired Maxon Insurance Company, located in Ontario,
Canada.
Maxon Insurance Company has 10 employees and provides auto insurance to 10,000 customers
in Canada. As a result of this merger, the chief ex
ecutive officer (CEO) has asked you to look at
a data warehouse as a viable solution for merging both information technology (IT)
infrastructures. After doing research, you decide to create a data warehouse that will combine the
customer information from b
oth companies into one centralized location. Maxon Insurance
Company does not have a relational database. In fact, the company currently stores its data in
multiple data sources. As a result, Maxon Insurance Company’s data does not have any unique
identifi
ers. Also, customers with multiple insurance policies have duplicate records. Each
spreadsheet repeats the customer’s demographic information. Each insurance company utilizes a
distinct customer relationship management (CRM) system.
The CRM systems are us
ed to keep a record of all customers and any communications that are
sent to customers. The CRM systems tie into an in
–
house billing system that is used to bill for
insurance premiums, insurance deductibles, and any other billable items. To manage
organiza
tional operations, each company uses a different enterprise resource planning (ERP)
system. The ERP systems are used to manage human resources (hires, terminations, etc.),
payroll, budgeting, accounting, and fixed assets.
To streamline operations and redu
ce maintenance costs, all data systems (ERP, CRM, billing,
etc.) will need to be consolidated into a data warehouse. This will avoid duplicated information
and data redundancy.
Scenario
Imagine you are the chief information officer (CIO) for Virtual World Insurance Company, an
organization located in San Diego, California. It provides auto insurance coverage to more than
100,000 customers across the United States and currently has 100 emp
loyees. Virtual World
Insurance Company has recently acquired Maxon Insurance Company, located in Ontario,
Canada.
Maxon Insurance Company has 10 employees and provides auto insurance to 10,000 customers
in Canada. As a result of this merger, the chief ex
ecutive officer (CEO) has asked you to look at
a data warehouse as a viable solution for merging both information technology (IT)
infrastructures. After doing research, you decide to create a data warehouse that will combine the
customer information from b
oth companies into one centralized location. Maxon Insurance
Company does not have a relational database. In fact, the company currently stores its data in
multiple data sources. As a result, Maxon Insurance Company’s data does not have any unique
identifi
ers. Also, customers with multiple insurance policies have duplicate records. Each
spreadsheet repeats the customer’s demographic information. Each insurance company utilizes a
distinct customer relationship management (CRM) system.
The CRM systems are us
ed to keep a record of all customers and any communications that are
sent to customers. The CRM systems tie into an in
–
house billing system that is used to bill for
insurance premiums, insurance deductibles, and any other billable items. To manage
organiza
tional operations, each company uses a different enterprise resource planning (ERP)
system. The ERP systems are used to manage human resources (hires, terminations, etc.),
payroll, budgeting, accounting, and fixed assets.
To streamline operations and redu
ce maintenance costs, all data systems (ERP, CRM, billing,
etc.) will need to be consolidated into a data warehouse. This will avoid duplicated information
and data redundancy.
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