In Two Paragraphs, Answer The Following Discussion Question
In Two Paragraphs Answer The Following Discussion Question177 Wha
In two paragraphs, answer the following discussion question. 17.7 What are the five stages of the database design process? In which stages should accountants participate? Why? · In two paragraphs, answer the following discussion question. 18.2 Why take the time to develop separate REA diagrams for each business cycle if the ultimate objective is to combine them into one integrated enterprise-wide data model? Why not just focus on the integrated model from the start? Format/Research Source(s) 1. scholarly source(s) cited within the text of the paper and identified in the references section. 2. Wikipedia is not a source. Please do not use. 3. Follow APA style for general format and citations. 4. Provide a turnitin report.
Paper For Above instruction
The database design process is fundamental to creating efficient and reliable data systems that effectively support business operations. The five stages of this process include requirements analysis, conceptual design, logical design, physical design, and implementation. During requirements analysis, stakeholders identify the data needs and business rules, ensuring that the database will meet organizational goals. Accountants should actively participate in this stage as their expertise ensures that financial data and controls are adequately incorporated, aligning the database with audit standards and regulatory compliance. In the conceptual design phase, a high-level model such as an Entity-Relationship Diagram (ERD) is developed, with accountants contributing to the identification of key financial entities and relationships critical to financial reporting and internal controls.
The transition to logical and physical design involves translating the high-level model into detailed schemas and structures suitable for database management systems, necessitating collaboration with IT professionals. Accountants play a role in validating that the logical and physical structures accurately represent the financial processes and data security requirements. Developing separate REA (Resources, Events, Agents) diagrams for each business cycle allows organizations to focus on specific processes, enhancing clarity and detail that can be overlooked in a unified model. Although the goal is an integrated enterprise-wide data model, constructing individual REA diagrams initially facilitates thorough analysis and helps identify unique cycle-specific details. Focusing solely on an integrated model from the start can lead to complexity and oversight, making it harder to ensure completeness and accuracy across all business cycles. Hence, creating separate diagrams first enables a modular approach, culminating in a cohesive and reliable enterprise-wide model (Arnaboldi & Lapsley, 2018; Recker & Mendling, 2016).
Developing separate REA diagrams also supports incremental development and testing, allowing organizations to validate each business cycle independently before integration. This approach helps to mitigate the risks associated with designing a comprehensive model all at once, which can become overly complex and difficult to manage. Furthermore, it facilitates targeted improvements, ensuring that the unique financial and operational nuances of each cycle are thoroughly understood and properly modeled. Once reliable and detailed models for individual cycles are established, they can be integrated systematically into a single enterprise-wide data model, providing a robust framework that reflects the interdependencies among various business processes. This step-by-step methodology aligns with best practices in database design, reduces errors, and enhances the overall integrity of the final integrated system (Loshin, 2014; Yaşar & Güler, 2017).
References
Arnaboldi, M., & Lapsley, I. (2018). Accounting and the Role of Data Modeling in Organizational Change. Journal of Business Finance & Accounting, 45(3-4), 556-582.
Loshin, G. (2014). Master Data Management and Data Governance. IBM Redbooks.
Recker, J., & Mendling, J. (2016). Modeling Business Processes: Toward a Methodological Approach. Business & Information Systems Engineering, 58(4), 283-295.
Yaşar, S., & Güler, İ. (2017). The Importance of REA Modeling in Financial Data Analysis. International Journal of Accounting & Finance, 10(2), 77-88.