Project Deliverable 2 Business Requirements Due Week 4 ✓ Solved
Project Deliverable 2 Business Requirementsdue Week 4 And Worth 110 P
This assignment consists of two (2) sections: a business requirements document and a project plan. You must submit both sections as separate files for the completion of this assignment. Label each file name according to the section of the assignment it is written for. Additionally, you may create and/or assume all necessary assumptions needed for the completion of this assignment. Procuring quality business requirements is an important step toward the design of quality information systems.
Completion of a quality requirements document allows user needs and expectations to be captured, so that infrastructure and information systems can be designed properly. Your company, which is a data-collection and analysis company that has been operating less than two (2) years, is seeking to create a repository for collected data beyond standard relational databases. Your ten (10) terabyte data warehouse is expected to grow by 20% each year. You are mindful of data warehousing best practices which will aid you immensely in your requirements gathering effort. Using the requirements document provided in the course shell, you are to speculate on the needs of the company.
You must consider current and future requirements; however, assumptions should be realistic and carefully considered. Section 1: Business Requirements Document Write a four to six (4-6) page original business requirements document for the project plan using the template provided. Note: The template is provided under the Additional Resources in the Student Center tab of the online course shell. Describe the project including the following: Describe and define the scope of the project. Speculate as to how to control the scope.
Identify possible risks, constraints, and assumptions. Describe the relationship and integration between systems and infrastructure. Note: Database and Data Warehousing, Analytics, Interfaces and Cloud Technology, and Infrastructure and Security should be considered. Speculate upon potential outsourcing or offshoring needs. Identify and justify the necessary resources including staffing that are necessary.
Define relevant terms that will be used throughout project. Use at least two (2) quality resources in this assignment. Note: Wikipedia and similar Websites do not qualify as quality resources. Your assignment must follow these formatting requirements: Be typed, double spaced, using Times New Roman font (size 12), with one-inch margins on all sides; citations and references must follow APA or school-specific format. Check with your professor for any additional instructions.
Include a cover page containing the title of the assignment, the student’s name, the professor’s name, the course title, and the date. The cover page and the reference page are not included in the required assignment page length. Section 2: Revised Project Plan Use Microsoft Project to: Update the project plan from Project Deliverable 1: Project Plan Inception, with three to five (3-5) new project tasks each consisting of five to ten (5-10) sub-tasks.
Sample Paper For Above instruction
Business Requirements Document for a Data Warehouse Expansion
The rapid growth of data collection and analysis companies necessitates efficient and scalable infrastructure to manage large volumes of data effectively. The company, being relatively new with less than two years of operation, aims to develop a comprehensive data warehouse that extends beyond traditional relational database management systems (RDBMS). This document outlines the business requirements for expanding the company's data repository, focusing on scalability, security, and future integration.
Project Scope and Control Measures
The core scope involves creating a scalable data warehouse capable of accommodating an initial 10-terabyte dataset, with an anticipated growth rate of 20% annually. The project will include selecting appropriate storage solutions, designing data models, ensuring data integrity, and integrating with existing analytical tools. Scope management will involve establishing clear change control processes, regular stakeholder feedback, and phased deliverables to prevent scope creep.
Risks, Constraints, and Assumptions
Potential risks include data security breaches, integration challenges with legacy systems, and unexpectedly high growth rates leading to performance bottlenecks. Constraints involve budget limitations, technological compatibility with current infrastructure, and resource availability. Assumptions include steady data ingestion growth, availability of skilled personnel, and a reliable cloud service provider to support scalability.
System and Infrastructure Integration
The project necessitates seamless integration between the data warehouse, existing relational databases, analytics platforms, and cloud services. Emphasizing best practices, the architecture will prioritize security protocols such as encryption and access controls. Cloud technology, especially platforms like AWS or Azure, will be leveraged for scalability and disaster recovery. Infrastructure upgrades might include enhanced network bandwidth and robust hardware provisioning.
Outsourcing Needs
Considering the specialized nature of data warehousing and analytics, outsourcing certain components—such as cloud infrastructure management or security audits—may be beneficial. Offshoring data engineering tasks could reduce costs but requires careful vendor selection and oversight to ensure quality and compliance.
Resources and Staffing
The project requires a dedicated team comprising data engineers, database administrators, security specialists, and project managers. Additional resources include hardware procurement, cloud services subscriptions, and training for staff on new technologies. Justification for staffing hinges on the project's complexity, scope, and the anticipated growth trajectory.
Key Terms
- Data Warehouse: A centralized repository designed to store large volumes of heterogeneous data for analysis and reporting.
- Data Governance: The policies and standards that ensure data quality, security, and proper management across systems.
References
- Building the Data Warehouse (4th ed.). Wiley.