Efficiency & Performance
- Cost-efficiency: Ensuring that the solutions used are cost-effective and provide value for money.
- Speed: The ability to process and analyze data quickly to meet business needs.
- Performance: Optimizing query performance by organizing data in a way that supports efficient retrieval.
Flexibility & Scalability
- Flexibility: The capability to adapt to changing requirements and data sources.
- Scalability: Ensuring the system can handle increasing volumes of data without performance degradation. Can handle large volumes of data, making it suitable for enterprise-level data warehousing.
- Reusability: Designing components that can be reused across different projects or processes.
- Latency: Minimizing delays in data processing and retrieval.
Usability & Accessibility
- Simplicity: Keeping the system easy to manage and understand, reducing complexity.
- Usability: Providing a clear and intuitive structure that is easy for business users to understand and navigate.
- Accessibility: Ensuring that data is accessible when needed by authorized users.
Data Quality & Integrity
- Data Integrity: Ensuring data accuracy and consistency.
- Data Quality: Maintaining high-quality data for reliable insights.
- Availability: Ensuring that data is available when required by authorized users.
Interoperability
- Interoperability: Ensuring that different systems and tools can work together seamlessly.
- Data Compatibility: Ensuring data is compatible with different systems.