Assignment Content Scenario: You Are The Vice President
Assignment Contentscenarioyou Are The Vice President For Information T
Scenario you are the Vice President for Information Technology at a small, growing business. You have been tasked with developing a plan for maintaining databases for storage of business data and use in business analytics. In Weeks 1-5, you will work on gathering information in a Database Management Plan. In Week 6, you will present your plan in a 20-minute presentation (10-12 slides) to the President of Information Technology. Create a 700-word entry in your Database Management Plan. You will use information from this entry in your presentation due in Week 6.
In your Database Management Plan entry, ensure you: provide an overview of how databases can be used in a company to store and extract information; decide what data elements need to be stored; analyze major components of the SDLC when developing this database application. A Database Management Plan template is available to help you record and organize your information.
Paper For Above instruction
In today's data-driven business environment, effective database management is essential for storing, organizing, and analyzing critical business data. As the Vice President of Information Technology at a growing organization, understanding how to leverage databases for operational efficiency and strategic decision-making is paramount. This paper provides a comprehensive overview of database utilization in a corporate setting, identifies key data elements to be stored, and analyzes major components of the System Development Life Cycle (SDLC) relevant to developing a robust database application.
Utilization of Databases in Business Operations
Databases serve as the backbone of modern business operations by providing a systematic way to store, retrieve, and manipulate vast amounts of data. They facilitate seamless data access for employees, support automated processes, and enable data-driven decision-making. In a business context, databases can be used to manage customer information, inventory, sales transactions, employee records, and financial data.
For example, customer relationship management (CRM) systems rely heavily on databases to maintain detailed records of customer interactions, preferences, and purchase history. Similarly, enterprise resource planning (ERP) systems use databases to integrate core business processes across departments, ensuring consistency and real-time data availability. The capacity to extract insights from stored data through analytics tools enhances competitive advantage, operational efficiency, and strategic planning.
Data Elements to Be Stored
Identifying the appropriate data elements is critical for designing an efficient database. In a small but growing enterprise, essential data categories include customer data (name, contact information, purchase history), product data (product ID, description, price, stock levels), transaction data (order ID, date, quantity, total amount), employee data (employee ID, name, role, payroll information), and supplier data (supplier ID, contact details, products supplied).
Data should be structured to support normal forms to reduce redundancy and improve data integrity. Additionally, defining relationships between data elements, such as linking customer data with transactions or products with suppliers, enables meaningful analysis and reporting. Proper data governance policies must also be established to ensure data security, accuracy, and compliance with relevant regulations.
Major Components of the SDLC in Database Development
The System Development Life Cycle (SDLC) provides a structured framework for designing, developing, and maintaining a database system. Key phases include planning, analysis, design, development, testing, implementation, and maintenance.
During the planning phase, organizational needs are assessed, project scope is defined, and resource requirements are identified. The analysis phase involves gathering detailed requirements, identifying data needs, and defining user expectations. The design phase translates these requirements into database schemas, including tables, relationships, and indexing strategies to optimize performance.
Development entails actually creating the database using chosen database management systems (DBMS), implementing security features, and populating initial data. Testing ensures the database functions correctly, supports necessary queries, and maintains integrity under different scenarios. The implementation phase involves deploying the database into a production environment, training users, and establishing backup and recovery procedures.
Post-deployment, the maintenance phase ensures the database remains efficient, secure, and aligned with evolving business needs. Regular updates, performance tuning, and data audits are integral to this phase. Throughout all SDLC stages, governance policies and adherence to best practices are critical for developing a resilient and scalable database system.
Conclusion
Implementing a well-designed database management plan is vital for a growing business aiming to leverage its data assets effectively. By understanding how databases support business operations, identifying essential data elements, and following a structured SDLC approach, organizations can ensure their data infrastructure is scalable, secure, and aligned with strategic goals. As technology continues to evolve, ongoing evaluation and enhancement of database systems will be necessary to maintain competitive advantage and operational excellence.