A practical business analysis and data management portfolio demonstrating how master data governance can improve data quality, business processes, and operational consistency in manufacturing environments.
This portfolio presents practical business analysis and data management projects designed around realistic manufacturing and enterprise environments.
The projects demonstrate a structured approach to understanding business problems, gathering and documenting requirements, analysing business processes, improving data quality, designing governance frameworks, and supporting implementation through risk management and user acceptance testing.
The portfolio combines Business Analysis, Data Management, Project Management, and SAP S/4HANA concepts to demonstrate enterprise-style analytical and documentation practices.
Manufacturing organizations depend on accurate and consistent master data to support procurement, production, inventory, maintenance, logistics, and reporting.
Poor master data quality can lead to:
- Duplicate records
- Incomplete information
- Inconsistent naming conventions
- Process delays
- Reporting inaccuracies
- Increased manual work
- Poor downstream system performance
This project proposes a structured governance framework to address these challenges.
Key improvement: The TO-BE process introduces standardized requests, automated validation, duplicate checking, controlled approval, business validation, SAP S/4HANA data creation, and audit traceability.
- Business Requirements Analysis
- Business Process Analysis and Improvement
- Master Data Governance
- Data Quality Management
- Requirements Engineering
- Stakeholder Management
- Project Management
- Manufacturing Data Management
- Risk Management
- User Acceptance Testing (UAT)
- Project Documentation
A practical Master Data Governance case study for a manufacturing organization operating within an SAP S/4HANA environment.
The project follows a complete business analysis lifecycle from project initiation and requirements gathering through AS-IS/TO-BE process analysis, governance and data-quality design, risk management, UAT planning, and project closure.
- Project Charter
- Business Requirements Document (BRD)
- AS-IS Process Analysis
- TO-BE Process Analysis
- Data Dictionary
- Data Quality Rules
- RACI Matrix
- Risk Management
- UAT Test Plan
- Project Documentation
- Final Project Report
View Complete Project Documentation
Business_Analysis_Data_Management_Portfolio
│
├── README.md
├── 01_Master_Data_Governance
│ ├── README.md
│ └── docs
│ ├── MDG-P01-001_Project_Charter.md
│ ├── MDG-P01-002_Business_Requirements.md
│ ├── MDG-P01-003_AS-IS_Process.md
│ ├── MDG-P01-004_TO-BE_Process.md
│ ├── MDG-P01-005_Data_Dictionary.md
│ ├── MDG-P01-006_Data_Quality_Rules.md
│ ├── MDG-P01-007_RACI_Matrix.md
│ ├── MDG-P01-008_Risk_Register.md
│ ├── MDG-P01-009_UAT_Test_Plan.md
│ └── MDG-P01-010_Final_Project_Report.md
Status: ✅ Complete
This repository is being developed as part of a professional Business Analysis & Data Management portfolio to demonstrate practical skills in master data governance, business process analysis, and project management.
Emeka G. Chijioke
Engineering researcher and professional developing expertise across aerospace engineering, business analysis, data management, engineering systems, and technical project management.