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