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.

Flexibility: The capability to adapt to changing requirements and data sources.

Scalability: Ensuring that the system can handle increasing volumes of data without performance degradation.

Simplicity: Keeping the system easy to manage and understand, reducing complexity.

Reusability: Designing components that can be reused across different projects or processes.

Interoperability: Ensuring that different systems and tools can work together seamlessly.

Latency

Accessibility

Usability

Data Integrity

Data Quality

availability

Performance Dimensions

  • Performance: Optimizes query performance by organizing data in a way that supports efficient retrieval.
  • Simplicity: Provides a clear and intuitive structure that is easy for business users to understand and navigate.
  • Flexibility: Supports a wide range of queries and analyses, allowing users to slice and dice data along different dimensions.
  • Scalability: Can handle large volumes of data, making it suitable for enterprise-level data warehousing.