HFI (High Frequency Investments) is company in Australia which is considered as a leading investment management company. The HFI is founded by managers and also security analysts. In this report, the methods and procedures that are carried out are shown with an entity relationship diagram. This report also contain the details of all the entity and attributes that are involved in the ERD diagram of the company. The ERD shows the primary key, foreign key and the multivalued key in the diagram. The explanation of all the entity and attributes are explained and some assumptions are made and justification is provided for the procedures of the company.
Figure: ERD of High Frequency Investments
EMPLOYEE: The employee table consist of all the details of the employees who works in HFI (Human Frequency Investments). There are mainly two types of employees who works in HFI.
Employee_ID: There is a unique employee id for all the employees who work in HFI. All the employees of the company have a unique identification number which is considered as the primary key of the table EMPLOYEE.
Full Name: This denotes the full name of employee.
Address: The address of the employees are stored in the data base in this address table.
Phone_Number: The phone number is stored in this attribute. This is a multivalued attribute because a particular employee may have more than one contact number.
Designation: An employee have some roles in the company. There are mainly two types of designation in this company, Security analysts and Portfolio Managers. All the employees are divided in these two categories.
Salary: The salary of all employees are mentioned in the salary attribute.
Date of Joining: The date of joining on which the employee has joined is saved in the database in this field.
Portfolio Managers: This entity is about the employees having designation of portfolio managers. The attributes of this entity are described in the section given below:
Manager_id: This is the primary key of this table. Each of the managers gets a unique id.
Employee_id: This attribute will act as foreign key in this entity.
Full name: This is the full name of the employee.
Expert Area: This denotes the area where an employee is expert in. There are some particular fields in which an employee works the best. This attribute explains the area.
Phone number: Will contain the phone number of the employee.
Research Analyst: This entity is about the employees having designation of portfolio managers. The attributes of this entity are described in the section given below:
Analyst_id: This is the primary key of this table. Each of the managers gets a unique id.
Employee_id: This attribute will act as foreign key in this entity.
Full name: This is the full name of the employee.
Expert Area: This denotes the area where an employee is expert in. There are some particular fields in which an employee works the best. This attribute explains the area.
Phone number: Will contain the phone number of the employee.
PORTFOLIO: The portfolio is a table in which all the details of the stock, client are saved in the database.
P_ID: This is a unique portfolio ID which is considered as a unique key in PORTFOLIO table. All the transactions that takes place in the company has a unique identification number.
Stock_ID: Particular P_ID has a particular Stock_ID which is connected with the transaction.
Client_ID: The Client_ID is also mentioned along with the Stock_ID for the transaction in the PORTFOLIO table.
Trade_Type: The type of trade, i.e. long term trade, buy, sell is mentioned in this attribute.
Transaction_Date: The date of the transaction is recorded in this attribute.
Quantity_Traded: The number of items that are traded are noted in the database by the quantity_traded attribute.
Available_cash: The cash that is available with the company after the buying and selling of all the items are noted in available cash.
Price_per_unit: The price of per unit is mentioned in this attribute.
STOCK: The stock that is available with HFI (Human Frequency Investments) is all mentioned in this table. Only the managers manages the stock table as all the employees cannot be given the responsibility to handle the stock of the company.
Stock_ID: All the items in stock have a particular stock id which is denoted in this attribute. The Stock table has Stock_ID as the primary key.
Company_Name: The name of the company is mentioned in this attribute with which the items is bought from or sold to.
Recommendation: A particular item is sold or bought is mentioned in the recommendation section.
Code: Code is a three letter word which uniquely identifies an ordinary stock. As an example, the stock share of the Rio Tinto has the code RIO.
Section: This attribute mentions the section of the stock that is cleared from the stock.
Status: This attribute shows the status of the stock that is how much quantity of the item is left over or if the stock is empty.
CLIENT: The client attribute gives the details of all the clients that are associated with the company. There are three types of clients that are involved in the company.
Client_ID: This a unique identification number which is needed to identify each client. This is a primary key in the Client table as it uniquely defines each client.
Name: The full name of the client is detailed in this attribute and is stored in the table in database.
Address: The full address of the client is stored in the database using this attribute. Address is required to have a contact with the client and know from where the client belongs to.
Phone_Number: All the phone numbers are to be stored in the Phone_Number attribute. This attribute is considered as multivalued attribute because it may have more than one value.
Client_Type: There is mainly three types of client associate with the company. Individual clients, trustee clients and corporate investor clients are mainly associated with HFI (Human Frequency Investments). Individual client needs to have a TFN (Tax File Numbers), the trustee clients should have to be nominated and the corporate investors should have an ABN (Australian Business Number).
TFN: Tax File Numbers are unique numbers that are needed for clients which are individual.
All the work of HFI (High Frequency Investments) are justified according to the stated entity relationship diagram for the company. The relationship that are shown in the ERD are justified within the relationship of all the entities. The employees of HFI manages the portfolio and the stock of the company. Portfolio has a relationship with stock. The client has a relation with portfolio because the client manages to its account through the portfolio itself.
div class=”table-responsive”>
|
EMPLOYEE |
||
|
Column name |
Data type |
Allow value |
|
Employee_id |
int |
Not null |
|
Full Name |
Varchar (50) |
Not null |
|
Address |
Varchar (100) |
Not null |
|
Phone_number |
Varchar (12) |
Not null |
|
Designation |
Varchar (10) |
Not null |
|
Expert Area |
Varchar (10) |
Not null |
|
Salary |
int |
Not null |
|
Date of joining |
date |
Not null |
div class=”table-responsive”>
|
PORTFOLIO |
||
|
Column name |
Data type |
Allow value |
|
p_id |
int |
Not null |
|
Stock_id |
int |
Not null |
|
Client_id |
int |
Not null |
|
trade_type |
Varchar (10) |
Not null |
|
transaction_date |
date |
Not null |
|
quantity_traded |
int |
Not null |
|
available_cash |
int |
Not null |
|
price_per_unit |
int |
Not null |
div class=”table-responsive”>
|
CLIENT |
||
|
Column name |
Data type |
Allow value |
|
client_id |
int |
Not null |
|
name |
Varchar (50) |
Not null |
|
adddress |
Varchar (100) |
Not null |
|
Phone_number |
Varchar (12) |
Not null |
|
client_type |
Varchar (20) |
Not null |
|
TFN |
int |
Not null |
div class=”table-responsive”>
|
STOCK |
||
|
Column name |
Data type |
Allow value |
|
stock_id |
int |
Not null |
|
company_name |
Varchar (50) |
Not null |
|
recommendation |
Varchar (100) |
Not null |
|
Code |
int |
Not null |
|
section |
Varchar (20) |
Not null |
|
status |
Varchar (20) |
Not null |
References
Al-Masree, H.K., 2015. Extracting Entity Relationship Diagram (ERD) from relational database schema. International Journal of Database Theory and Application, 8(3), pp.15-26.
Arasu, A., Babcock, B., Babu, S., Cieslewicz, J., Datar, M., Ito, K., Motwani, R., Srivastava, U. and Widom, J., 2016. Stream: The stanford data stream management system. In Data Stream Management (pp. 317-336). Springer Berlin Heidelberg.
Byrne, B. and Shahzad Qureshi, Y., 2013. UML Class Diagram or Entity Relationship Diagram: An Object Relational Impedance Mismatch. In Procs of 6th Int Conf of Education, Research, and Innovation. International Association of Technology, Education and Development (IATED).
Coronel, C. and Morris, S., 2016. Database systems: design, implementation, & management. Cengage Learning.
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