Data can be stored, acquired, processed and analyzed in many different forms. Every data has different characteristics like frequency, volume, velocity, veracity and type. When data is stored and processed, additional dimensions come into play. A proper data architecture makes sure that the data is handled appropriately when it is stored, acquired and processed. Data Architecture at The Digital Group involves following steps:

  • Define a logical architecture of the layers and components of data solution
  • Understand the atomic patterns
  • Understand composite (or mixed ) patterns for data solution
  • Choose a solution pattern
  • Select the right product to implement
  • Data Strategy, outlining business aims and objectives for improved collection and use of data
  • Integration, data warehousing and reporting

Conceptual Model at The Digital Group

enterprise data architecture conceptual model

Key benefits

  • Accelerated Data Warehouse projects with pre-tested configurations
  • Reduced planning and setup cost
  • Increased success factor by choosing the right model or configuration
  • Reduced future support costs by limiting solution re-architect effort