Discussion Questions Database Management System
Discussion Questionsdatabase Database Management System And Business
Discussion Questions Database, Database Management System, and Business Applications Review Figure F2.1 Database, Database Management System, and Business Applications on page 28 of the textbook. Based on the videos, and your readings this week, please respond to the following questions: Please see attachment . Choose a set of data from the database list (e.g., Performance data). Next, select the appropriate application program that the data interfaces with via the database management system (i.e. Performance program).
Now, explain how information from the application and system are displayed on your computer screen as the user. Explain how you use the program and what functions are available to you. What recommendations would you make to improve the program’s functionality to make it easier for end users?
Paper For Above instruction
The integration of databases and management systems plays a vital role in modern business operations by enabling efficient data handling and streamlined application functionality. For this discussion, I will focus on a specific set of data from a typical business database—namely, performance data related to employee productivity—and the corresponding application program that interacts with this data through the database management system (DBMS). This scenario exemplifies how database-driven applications facilitate user interaction and data visualization, as well as exploring potential improvements to enhance user experience.
In a typical business environment, performance data is stored in a structured database that captures various metrics such as task completion rates, punctuality, quality of work, and other productivity indicators. The application program interfaced with this data serves as a performance management tool, providing managers and employees with accessible insights into individual and team accomplishments. This program is connected to the database via the DBMS, which ensures data integrity, security, and efficient retrieval.
When a user—say a manager—logs into the performance application, the system fetches relevant data from the database through SQL queries executed by the DBMS. The information displayed on the user’s screen is usually presented in a visual format such as dashboards, tables, or charts. For example, performance metrics may be shown through interactive dashboards that include bar graphs illustrating productivity trends over time, pie charts depicting task completion distributions, and heat maps highlighting areas needing improvement.
The application interface generally includes various functions such as filtering data by time periods or employee categories, generating detailed reports, setting performance benchmarks, and providing feedback options. Users can navigate between different views to analyze data more comprehensively and make informed decisions. Real-time updates may be available if the system is integrated with live data feeds, enabling managers to monitor ongoing performance metrics continuously.
Using the program involves several steps: logging in securely, selecting desired data views or reports, customizing the displayed metrics, and analyzing the visualized data to identify patterns or issues. The intuitive navigation menus and visual aids facilitate ease of use, but some challenges persist, such as complex filtering processes or limited customization options for specific user needs.
To improve the functionality of this performance management program, several recommendations are proposed. First, enhancing user interface design by incorporating drag-and-drop dashboard customization would enable users to personalize views according to their preferences without needing technical support. Second, integrating predictive analytics powered by machine learning algorithms could provide proactive insights, such as forecasting future performance trends and suggesting targeted interventions. Third, implementing mobile-responsive designs would facilitate access to performance data on various devices, supporting remote or on-the-go decision-making. Additionally, providing comprehensive user training and contextual help features within the application can ease usability barriers, especially for less tech-savvy users.
In conclusion, the synergy between databases, management systems, and application programs significantly enhances business efficiency by presenting complex data in accessible formats. By adopting user-centric design improvements, such systems can better serve end-users, leading to more effective performance management and overall organizational productivity. Future advancements should focus on integration of intelligent features and flexible customization options to meet diverse user requirements in dynamic business environments.
References
1. Coronel, C., & Morris, S. (2015). Database Systems: Design, Implementation, & Management. Cengage Learning.
2. Elmasri, R., & Navathe, S. B. (2015). Fundamentals of Database Systems (7th ed.). Pearson.
3. Krosby, G. (2018). Business Intelligence and Data Analytics: Systems for Decision Support. Journal of Business Analytics, 2(1), 45-54.
4. Laudon, K. C., & Laudon, J. P. (2020). Management Information Systems: Managing the Digital Firm. Pearson.
5. Kimball, R., & Ross, M. (2013). The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling. Wiley.
6. Hevner, A. R., March, S. T., Park, J., & Ram, S. (2004). Design Science in Information Systems Research. MIS Quarterly, 28(1), 75-105.
7. Sharda, R., Delen, D., & Turban, E. (2020). Business Intelligence, Analytics, and Data Science: A Managerial Perspective. Pearson.
8. O'Neil, P., & Schutt, R. (2014). Doing Data Science: Straight Talk from the Frontline. O'Reilly Media.
9. Turban, E., Sharda, R., Delen, D., & King, D. (2018). Business Intelligence and Analytics: Systems for Decision Support. Pearson.
10. ISO/IEC 9126-1:2001. Software Engineering — Product Quality — Part 1: Quality Model.