Information Systems Analysis and Design



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Data Modeling


Andrew Lewis
Southwestern College
BSAD 420: Information Systems Analysis and Design
Dr. Kelly Wibbenmeyer
April 25, 2021








**Feedback from Instructor: The initial paragraph of content is much too long. I noted this in the video from week 2. I’m looking for why the project is occurring, the cost and budget. It should be around 3-4 sentences in length. I’m not seeing it this week. The headings are not in APA format. A heading should never be called introduction but the name of what the topic of the paper is. The references are not in APA format.**

Information Systems Analysis and Design
Employee data is crucial to the business’s success, and manual handling of the information contributes to several challenges. For instance, leave application by the employees is a process that requires faster approval. As compared to the manual method that consumes a lot of time to be approved, Employee Profile Management Systems (EPMS) offers instant information processing. The system aids in estimating the employee’s performance metrics, tracking down the employee’s records to foster effectiveness in business activities. Computers have become an integral part of life for accessing any information. Technology has revolutionized in the 21st century, and organizations find it challenging to survive in a highly technologically competitive market. This project aims to evaluate how Employee Profile Management System (EPMS) has impacted business success. EPMS permits classification, exactness, and wellspring of data between the employees and the organization (Raju & Sreedevi). Technology alludes to the unification of various communication strategies and integration of telecommunications and computers to allow people to store, transmit and manipulate data. The computer software field has grown to a higher level, and many economic aspects rely on it in improving their productivity. Due to high economic competition developers have increased pressure to ensure software reliability for business success (Sahu & Srivastava 2020). Software applications have become essential to the business-employee interaction where business transactions are done online, and employees can register daily attendance through an online portal. When businesses employ the use of modern technological methodologies in executing their activities, it can lead to improved productivity and enact employees to work in a rapid technological change environment. Faster retrieval of data plays a crucial role while transacting with others. Currently, businesses can amalgamate via the use of technology and work towards a common goal.
In most cases, employee performance is based on several approaches such as work productivity, time punctuality, competence with other employees, and commitment towards the business’s success. Computer software acts as the determinant in evaluating employee productivity. For instance, EPMS is capable of creating job requisitions, customization of job-specific questions in recruiting portal. Onboarding modules in the EPMS portray a good impression of the company to the new employees. New onboarding procedures can be achieved through workflows, user accounts, badge access, user training, and other aspects. The variations ascertained in employee performance are associated with modernizing the manual human resource systems. In the modern world, software applications have become the norm for executing daily activities to perfect in the job market. Performance management module in the human resource system supports job organizations, employee training, and annual reviews are conveniently centralized in one location. Also, globalization and the adoption of a knowledge-based economy force businesses to work in a dynamic context, and the objectives can only be achieved through the use of technology. Employee attendance tracking, managerial approval access, time clock management are the essential features of the attendance module in EPMS, where the system electronically routes the employee data to the payroll provider. It also incorporates expense accessing tools for carrying out budgeting activities and bidding data.
System Process Description
Below is a process within the Employee Profile Management System. The process is represented in the level 1 Data Flow Diagram (DFD) to shows its basic functionality. In DFDs the system functionality is decomposed into sub-functions (Basu, 2020 ). The process involves two entities that are the employee and the system administrator. The system administrator has the overall control of the system. The system process starts by the administrator providing the login credentials. The system authenticates admin login details by conforming with stored database data. When wrong login credentials are provided in the system, the process gets terminated. On successes, the admin is authorized to perform several tasks. The admin can add new employees and submit the data to the database. He has the privileged of deleting employees from the database and editing employee data. The employee is also allowed to access and manipulate some system information only by a successful authentication. On providing the accurate login credentials employee can edit some of his data but cannot create a new employee or delete his data. Also, for faster retrieval of information, the system admin can perform employee searches, and the system will validate and verify the search results.
Data flow Diagram
The above system process is part of the employee management system. The diagram is at level one of the data flow diagram. The process is well visualized, and a novice user can easily understand the process. Level one DFDs are concerned with showing the incoming data flows, out data flows, and the processes. To streamline the process, level two DFD is necessary where specific details about system functioning can be recorded

















Basu Ray, P. (2020). Software Engineering: Data Flow Diagram–Part 2.
Sahu, K., & Srivastava, R. K. (2020). Needs and importance of reliability prediction: An industrial perspective. Inf. Sci. Lett., 9(1), 33-37.



















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