In this assignment, we are building a data warehouse for an online brokerage company. The company

makes money by charging commissions when customers buy and sell stocks. We are planning to have a

Trades fact table with the grain of one row per stock trade. We will use the following dimensions: Date,

Customer, Account, Security $($i$.$e$.$ which stock was traded$),$ and TradeType.

The company's data analysts have told us that they have developed two customer scoring techniques

that are used extensively in their analyses.

$$ Each customer is placed into one of nine Customer Activity Segments based on their frequency of

transactions, average transaction size, and regency of transactions.

$$ Each customer is assigned a Customer Profitability Score based on the profit earned as a result of that

customer's trades. The score can be either $1,2,3,4$ or $5,$ with $5$ being the most profitable.

These two scores are frequently used as filters or grouping attributes in queries. For example:

$$ How many trades were placed in July by customers in each customer activity segment?

$$ What was the total commission earned in each quarter of $2003$ on trades of IBM stock by customers

with a profitability score of $4$ or $5?$ There is a total of $100,000$ customers, and scores are recalculated

every three months. The activity level or profitability level of some customers' changes over time, and

users are very interested in understanding how and why this occurs.

Task $1$: Data Warehouse Design

Design a data warehouse for the above mention scenario. Implement your data warehouse with SQL

Developer.

Prepare a report of your data warehouse design and demonstrate your design to your tutor.

Task $2$: OLAP Queries

Based on your design, write down the queries for the following problem:

$$ How many trades were placed in July by customer "John Alan"?

$$ What was the total commission earned in each quarter of $2003$ on trades of IBM stock by customers

with a profitability score of $4$ or $5?$