Project Plan or other project management document.
Data Discovery Stage:
Objective:
Identify data sources, understand data requirements, and define the scope of the DataMart project.
Key Activities:
- Data Source Identification: Identify relevant data sources within the organisation, including databases, applications, and external sources.
- Data Profiling: Profile data sources to understand data quality, structure, and relationships.
- Requirements Gathering: Gather business requirements and user needs for the DataMart.
- Stakeholder Alignment: Align with stakeholders to ensure project objectives and expectations are clear.
Deliverables:
- Data source inventory
- Data profiling reports
- Business requirements document
- Stakeholder alignment summary[SW1]
Design Stage:
Objective:
Design the architecture, schema, and data models for the DataMart.
Key Activities:
- Data Modelling: Design conceptual, logical, and physical data models for the DataMart.
- Schema Design: Define the schema for tables and relationships within the DataMart.
- Architecture Design: Determine the technology stack, infrastructure requirements, and integration points for the DataMart.
- Security and Access Control: Design security measures and access controls to protect data within the DataMart.
Deliverables:
- Data models (conceptual, logical, physical)
- Schema diagrams
- Architecture design document
- Security and access control specifications
MVP (Minimum Viable Product) Stage:
Objective:
Develop and deploy a minimum viable version of the DataMart with essential features and functionality.
Key Activities:
- Feature Prioritisation: Identify and prioritise essential features and functionalities based on user needs and business requirements.
- Prototype Development: Develop prototypes or report mock-ups to visualise and validate the MVP’s key features and user workflows.
- Development Iteration: Implement the prioritised features and functionalities in an iterative and incremental manner.
- Testing and Validation: Conduct testing to ensure that the MVP meets user expectations and quality standards.
- Feedback Collection: Gather feedback from stakeholders and users to iterate on the MVP and refine its features and functionality.
- Refinement and Optimisation: Iterate on the MVP based on feedback, refining features, improving usability, and optimising performance.
Deliverables:
- Minimum viable version of the DataMart with essential features implemented
- Prototypes or Report mock-ups demonstrating key features and workflows
- Test reports and validation results
- Stakeholder feedback and iteration log
Deployment Stage:
Objective:
Deploy the DataMart into production, ensuring it is accessible, reliable, and secure.
Key Activities:
- Environment Setup: Provision infrastructure and environments for development, testing, and production.
- Data Integration: Extract, transform, and load (ETL) data from source systems into the DataMart.
- System Configuration: Configure software, databases, and tools required for the DataMart.
- Testing and Validation: Conduct testing to ensure data accuracy, system performance, and user acceptance.
- Training and Documentation: Provide training for users and administrators and create documentation for system usage and maintenance.
- Deployment and Go-Live: Deploy the DataMart into production environment, monitor performance, and address any issues during go-live.
Deliverables:
- Deployed DataMart system
- Test reports and validation results.
- User training materials and documentation
- Deployment and go-live checklist.
[SW1]Do we have templates for these?