Developed a SQL database for a fictional business called "PizzaPizzaPizza", and insights about possible business questions that can be answered with data

1. Pizza!
Pizza!
Pizza!
OPIM5272- BUSINESS PROCESS MODELING
AND DATA MANAGEMENT
MATTHEW MCGUIRE
MADHURIMA POTTURI
CHARLES REEB
KATHRYN WALKER

2. Agenda
Pizza! Pizza! Pizza! Background
Current Business Process
Database Model/ Query Overview
Results
Recommendations
Appendix

3. Pizza! Pizza! Pizza! Background
Pizza! Pizza! Pizza! was established in January 2017
 New to the downtown Hartford area
 No current concrete business process
 No application of Customer Management System

4. Background cont’d
 No knowledge of consumer habits
 Offers take out and delivery for its customers
 Accepts cash or credit
 Urgently needs inventory management abilities
 Owner is not getting the volume of customers he hopes

5. Business Process
Order is
completed
when customer
pays and
employee gives
customer pizza
Employee
submits order
to the kitchen
for production
Customer and
order
information is
collected
Customer
reviews menu
and places
order for pizza
type
Customer
calls or
arrives at
Pizza! Pizza!
Pizza!
Key Stakeholders
Pizza! Pizza! Pizza! Business Owner
Customers
Employees

6. Database Model
BUSINESS_FACT
PK WORKE_ID
PK ORDER_ID
PK PMT_ID
PK CUST_ID
PAYMENT
PK PMT_ID
AMOUNT
PMT_TYPE
CUSTOMER
PK CUST_ID
C_FIRST NAME
C_LASTNAME
C_GENDER
C_STREET_ADDRESS
C_CITY
C_STATE
C_ZIP
C_PHONE
C_EMAIL
EMPLOYEE
PK WORKER_ID
E_FIRSTNAME
E_LASTNAME
E_GENDER
E_AGE
E_STREET_ADDRESS
E_CITY
E_STATE
E_ZIP
E_PHONE
E_EMAIL
E_STARTDATE
ORDERS
PK ORDER_ID
ORDER_TYPE
ORDER_DATE
ORDER_HOUR
ORDER_Pizza
PK OP_PK
ORDER_ID
Pizza!_ID
Pizza
PK Pizza!_ID
Pizza!_NAME

7. Query Overview
Pizza! Pizza! Pizza! Background
 What day of the week is the busiest?
What type of payment method are customers using?
What type of pizza do men typically purchase compared to women?
Who are the top most profitable customers and what are their demographics?
Which the employee took the last orders in the last month?
What are busiest days for pick-up and delivery?

8. Query Results
Busiest Days of the
Week
Pizza Preferences
based on Gender
Payment Method
based on Gender
Payment Method
Overview
Most Orders by
Employee
Busiest Days for
Pickup & Delivery

9. Pizza! Pizza! Pizza!
Recommendations
Increasing the number of employees on Tuesdays
Ensuring all employees effectively know how to operate credit transactions to keep
lines shorter and consumers more delighted with their experience
Increase marketing efforts for Friday specials and consider closing the store on
Mondays
Marketing a special on veggie Pizza! to women in the downtown Hartford area
Addition an email receipt option that include survey results to receive primary data
from consumers
Offer incentive to employee that worked the most hours and took the most orders
(Employee Recognition)
Staff more employees on delivery days than pick up days.
Track most prevalent pizzas ordered for better supply management

10. Thank you for your time and
attention.
Any questions?
&
Comment
s