Database System
mc*DEnald' Database Fundamental System
The mcDEnald Database Project is a structured system designed to digitalize restaurant operations by managing sales, staff, customers, and transactions with accurate, consistent, and scalable data management.
Year :
2024
Industry :
Database System
Client :
Binus University
Project Duration :
9 Weeks
Problem : mcDEnald still relies on manual management for recording sales, staff, and customer data, which creates inefficiencies and risks in transaction processing.
Without a proper database system, managing thousands of sales transactions, customer details, staff records, and product information becomes error-prone and time-consuming. Manual handling limits scalability, makes it difficult to enforce data consistency (such as phone number formats, product type restrictions, or transaction limits), and hinders the ability to generate meaningful business insights. This not only slows down daily operations but also affects decision-making and customer satisfaction.
Solution : The mcDEnald project introduces a structured database system designed to store, manage, and process all restaurant operations efficiently.
The system was developed by creating an Entity Relationship Diagram (ERD) to model relationships among staff, customers, products, transactions, payment methods, and store branches. Using DDL (Data Definition Language), the necessary tables and constraints were created to enforce rules such as valid phone numbers, restricted gender values, and transaction limits.
Once the structure was in place, DML (Data Manipulation Language) was used to insert sample data into master tables, transaction tables, and transaction details, ensuring that conditions (≥10 master data, ≥15 transactions, ≥25 transaction details) were met. Advanced queries were also developed to simulate transaction processes, calculate totals, averages, and generate insights such as product performance, customer behavior, staff activeness, and payment method usage.
Challenge :
One of the main challenges was ensuring that the database design could both enforce strict business rules (e.g., address ending with “Street”, customer gender validation, or transaction date limits) while remaining flexible enough to handle large amounts of diverse data. Creating efficient queries that produced meaningful insights without compromising performance also required careful use of subqueries, aliasing, and views.
Summary :
The mcDEnald Database Project transforms a manual management system into a robust, efficient, and reliable digital infrastructure. By implementing a well-structured ERD, strict data constraints, and optimized queries, the system ensures accuracy, consistency, and scalability. This project not only supports day-to-day operations like sales and transactions but also provides valuable insights through advanced SQL queries and views, enabling better decision-making for business growth.
More Projects
Database System
mc*DEnald' Database Fundamental System
The mcDEnald Database Project is a structured system designed to digitalize restaurant operations by managing sales, staff, customers, and transactions with accurate, consistent, and scalable data management.
Year :
2024
Industry :
Database System
Client :
Binus University
Project Duration :
9 Weeks
Problem : mcDEnald still relies on manual management for recording sales, staff, and customer data, which creates inefficiencies and risks in transaction processing.
Without a proper database system, managing thousands of sales transactions, customer details, staff records, and product information becomes error-prone and time-consuming. Manual handling limits scalability, makes it difficult to enforce data consistency (such as phone number formats, product type restrictions, or transaction limits), and hinders the ability to generate meaningful business insights. This not only slows down daily operations but also affects decision-making and customer satisfaction.
Solution : The mcDEnald project introduces a structured database system designed to store, manage, and process all restaurant operations efficiently.
The system was developed by creating an Entity Relationship Diagram (ERD) to model relationships among staff, customers, products, transactions, payment methods, and store branches. Using DDL (Data Definition Language), the necessary tables and constraints were created to enforce rules such as valid phone numbers, restricted gender values, and transaction limits.
Once the structure was in place, DML (Data Manipulation Language) was used to insert sample data into master tables, transaction tables, and transaction details, ensuring that conditions (≥10 master data, ≥15 transactions, ≥25 transaction details) were met. Advanced queries were also developed to simulate transaction processes, calculate totals, averages, and generate insights such as product performance, customer behavior, staff activeness, and payment method usage.
Challenge :
One of the main challenges was ensuring that the database design could both enforce strict business rules (e.g., address ending with “Street”, customer gender validation, or transaction date limits) while remaining flexible enough to handle large amounts of diverse data. Creating efficient queries that produced meaningful insights without compromising performance also required careful use of subqueries, aliasing, and views.
Summary :
The mcDEnald Database Project transforms a manual management system into a robust, efficient, and reliable digital infrastructure. By implementing a well-structured ERD, strict data constraints, and optimized queries, the system ensures accuracy, consistency, and scalability. This project not only supports day-to-day operations like sales and transactions but also provides valuable insights through advanced SQL queries and views, enabling better decision-making for business growth.
More Projects
Database System
mc*DEnald' Database Fundamental System
The mcDEnald Database Project is a structured system designed to digitalize restaurant operations by managing sales, staff, customers, and transactions with accurate, consistent, and scalable data management.
Year :
2024
Industry :
Database System
Client :
Binus University
Project Duration :
9 Weeks
Problem : mcDEnald still relies on manual management for recording sales, staff, and customer data, which creates inefficiencies and risks in transaction processing.
Without a proper database system, managing thousands of sales transactions, customer details, staff records, and product information becomes error-prone and time-consuming. Manual handling limits scalability, makes it difficult to enforce data consistency (such as phone number formats, product type restrictions, or transaction limits), and hinders the ability to generate meaningful business insights. This not only slows down daily operations but also affects decision-making and customer satisfaction.
Solution : The mcDEnald project introduces a structured database system designed to store, manage, and process all restaurant operations efficiently.
The system was developed by creating an Entity Relationship Diagram (ERD) to model relationships among staff, customers, products, transactions, payment methods, and store branches. Using DDL (Data Definition Language), the necessary tables and constraints were created to enforce rules such as valid phone numbers, restricted gender values, and transaction limits.
Once the structure was in place, DML (Data Manipulation Language) was used to insert sample data into master tables, transaction tables, and transaction details, ensuring that conditions (≥10 master data, ≥15 transactions, ≥25 transaction details) were met. Advanced queries were also developed to simulate transaction processes, calculate totals, averages, and generate insights such as product performance, customer behavior, staff activeness, and payment method usage.
Challenge :
One of the main challenges was ensuring that the database design could both enforce strict business rules (e.g., address ending with “Street”, customer gender validation, or transaction date limits) while remaining flexible enough to handle large amounts of diverse data. Creating efficient queries that produced meaningful insights without compromising performance also required careful use of subqueries, aliasing, and views.
Summary :
The mcDEnald Database Project transforms a manual management system into a robust, efficient, and reliable digital infrastructure. By implementing a well-structured ERD, strict data constraints, and optimized queries, the system ensures accuracy, consistency, and scalability. This project not only supports day-to-day operations like sales and transactions but also provides valuable insights through advanced SQL queries and views, enabling better decision-making for business growth.