Cross analyzation and visualization of information

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Reference no: EM133045966

The purpose of this paper is to analyze how Marketing Department of Acme Bank will utilize data warehouse (DW) to handle the challenges of handling specific marketing campaigns and understanding the products that each client has with the Acme Bank. Data warehouse (DW) is the database systems that are developed to work with big data allowing cross analyzation and visualization of information simultaneously from different sources. 

  1. Why a data warehouse (data warehouse or DW) could be the solution to the problem that the Marketing Department of Acme Bank is having?
  2. What would be the dimensions and metrics that would be used in the data warehouse for the case studied. It begins by explaining the concepts of dimension and metric, and then identifies possible dimensions and metrics for the case.
  3. Identify the sources of information in the data warehouse.
  4. What are the various aspects of the data warehouse requirements: What are the use or the importance of the following components for the data warehouse:
  • Data source
  • Transformation
  • Storage
  • Delivery

Background of the situation and Data needed:

The Marketing Department of Acme Bank needs to know the products that each of its clients have and the clients that at some point had a product with the Bank but are no longer clients. They want to make this with the objective of launching specific marketing campaigns for specific clients. For example, if a customer already has a personal loan, the Bank does not want to send him promotions on personal loans. In this case, you would be sending you promotions on other products, such as a credit card, car loan or others.

Available products and their databases:

The following table shows the products that the Bank offers to its customers and where that information is stored:

Product

Where it is stored

Approximate number of records

Personal Loan

SQL Server Database

90,000

Auto Loan

Oracle Database

105,000

Mortgage Loan

SQL Server Database

400,000

Credit Card

Oracle Database

Excel sheets

110,000

Savings account

SQL Server Database

125,000

Basic customer information is in another SQL Server database.

Information in each of the databases:

Database

Database Information

Personal Loan

Number of loans, application date, approved flag, payment method, payment frequency, client ID, balance due, termination date

Auto Loan

Number of loans, application date, approved flag, payment method, payment frequency, client ID

Credit Card

Card number, customer ID, requested amount, approved amount, interest rate, credit limit, available balance, social security, purchase transaction date, amount used.

Debit Card

Card number, customer ID, balance, purchase transaction date, purchase amount.

Savings Account

Account number, opening date, deposit date, date

withdrawal, available balance,

deposit amount,

retirement

Clients

Customer number, physical address,

postal address, date of

birth, marital status, gender.

Problem:

The Marketing Department management does not have visibility of all customer information and it depends on the information reaching them in different files so that they can analyze it using different excel sheets It can take weeks before management has all the information available to be able to create the analyzes and design your marketing campaigns.

Request:

A solution is requested that allows the Marketing Department staff to have access to all customer information in one place and without depending on other areas to send you the information.

Reference no: EM133045966

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