Principles Of Information Technology Assignment Unit 5 ✓ Solved
It503 Principles Of Information Technology Assignment Unit 5 Unit 5 Ass
It503 Principles Of Information Technology assignment Unit 5unit 5 Ass
IT503: Principles of Information Technology Assignment Unit 5 Unit 5 Assignment: Business Case Practice After completing the unit reading, complete the following Unit 5 Practice Activity before starting your assignment. Unit 5 Learning Journal To help you prepare for this assignment, please complete this week’s Learning Journal activity. In this activity you will review the types of relationships used in entity-relationship diagrams. This will help you to correctly identify the relationships between the entities.
Assignment Instructions
Business Intelligence
You have been hired as a consultant for a small retail company that sells widgets online. The company is interested in learning how to use their data to improve their business. They have asked you to write a business case (search term business case template) to explain the justification for implementing a database management system to improve business intelligence within the company. Within your business case, begin by explaining business intelligence. Then explain data management and how a database management system can facilitate business intelligence. You should also explain the benefits that the company will experience with the system.
Next, consider the design of the system. Begin by describing the data entities, attributes and keys. For instance, a data entity may be Customer. Attributes of customer may include name and address. The key may be a uniquely assigned customer number.
You should have at least five data entities in your database. Create an entity-relationship diagram showing the relationship between the entities (YouTube search term: entity relationship diagram tutorial). Create a relational database model to describe the data (YouTube search term: relational database model).
Submitting your work: Submit your Assignment to the appropriate Dropbox. In your file name, be sure to include the unit number and your last name.
Sample Paper For Above instruction
Introduction
Business intelligence (BI) serves as a critical tool that enables organizations to make informed decisions by analyzing enterprise data. For a small retail business selling widgets online, leveraging BI can lead to enhanced operational efficiency, targeted marketing, and increased sales. This paper presents a comprehensive business case advocating for the implementation of a database management system (DBMS), which forms the backbone of robust business intelligence. It discusses the concepts of business intelligence, data management, and illustrates how a DBMS can facilitate improved decision-making through structured data handling. Additionally, a detailed design of the proposed database, including data entities, attributes, keys, an entity-relationship diagram (ERD), and a relational database model, is provided to demonstrate the practical implementation.
Business Intelligence and Data Management
Business intelligence encompasses the processes, technologies, and strategies used by organizations to analyze business data and support better decision-making. It involves collecting, integrating, analyzing, and presenting data in ways that highlight trends, patterns, and insights (Rikhardsson & Yigitbasioglu, 2018). For a retail company, BI could enable real-time sales analysis, customer behavior tracking, inventory management, and marketing optimization.
Data management refers to the systematic organization, storage, and maintenance of data, ensuring data accuracy, security, and accessibility (Keng & Tai, 2020). A well-structured data management framework is essential for BI because it ensures that data is reliable and ready for analysis. The core of data management in this context is the database management system, which acts as an intermediary between the data and the users querying it.
A database management system (DBMS) facilitates BI by providing a unified platform for data entry, updates, and retrieval, reducing redundancies and inconsistencies. It supports data integrity, allows for complex queries, and enables data security and backup—fundamental elements for trustworthy BI initiatives (Coronel & Morris, 2016). Moreover, a well-designed DBMS integrates disparate data sources, allowing for comprehensive analysis across various business functions.
Benefits of a Database Management System
Implementing a DBMS in a retail context yields multiple benefits:
- Improved Data Accessibility and Sharing: Employees have streamlined access to accurate data, facilitating quicker decision-making.
- Enhanced Data Accuracy and Consistency: A centralized database reduces errors caused by data duplication or manual entry.
- Better Support for Business Analytics: Advanced querying and reporting capabilities aid in revealing customer preferences and operational bottlenecks.
- Cost and Storage Efficiency: Eliminating redundant data storage reduces expenses and optimizes system resources.
- Scalability and Flexibility: The system can grow with the business, accommodating new data types or user requirements without significant redesign.
Design of the Database System
The foundation of the proposed database includes several key entities that encapsulate critical aspects of the retail operation:
1. Customer
Attributes: CustomerID (PK), Name, Email, Address, Phone Number
2. Product
Attributes: ProductID (PK), ProductName, Category, Price, StockQuantity
3. Order
Attributes: OrderID (PK), CustomerID (FK), OrderDate, TotalAmount
4. OrderDetails
Attributes: OrderDetailID (PK), OrderID (FK), ProductID (FK), Quantity, PriceAtPurchase
5. Supplier
Attributes: SupplierID (PK), Name, ContactInfo, Address
The primary keys (PK) uniquely identify each record in an entity. Foreign keys (FK) establish relationships between entities, such as linking Orders to Customers or OrderDetails to Orders and Products.
Entity-Relationship Diagram and Relational Model
The ERD illustrates the relationships among these entities:
- A Customer can place many Orders, but each Order belongs to a single Customer (One-to-Many).
- Each Order consists of multiple OrderDetails, each linking to one Product (One-to-Many).
- Each Product can appear in many OrderDetails (Many-to-Many), connected via OrderDetails.
- Suppliers supply Products; one Supplier supplies many Products, but each Product has one Supplier (One-to-Many).
The relational model translates this ERD into tables with respective primary and foreign keys, enabling SQL-based data management.
Conclusion
Implementing a robust database management system provides the foundation necessary for effective business intelligence in a retail setting. By structuring data around key entities such as Customers, Products, Orders, and Suppliers, and establishing clear relationships, the organization can unlock insights that drive strategic decisions. The ERD and relational model serve as blueprints for actual database development, facilitating data consistency, security, and analytical capabilities. Ultimately, the integration of these data systems enhances operational efficiency and competitive advantage.
References
Coronel, C., & Morris, S. (2016). Database Systems: Design, Implementation, & Management (12th ed.). Cengage Learning.
Keng, C. J., & Tai, S. M. (2020). Data management and analytics in small businesses. Journal of Business Analytics, 5(2), 123-135.
Rikhardsson, P., & Yigitbasioglu, O. (2018). Business intelligence and analytics: The impact of advanced data analysis techniques on organizational performance. Management Decision, 56(8), 1776-1789.
Additional credible sources as needed to bring total to at least five.