For enterprise data initiatives Wyntec’s extensive architectural experience is second-to-none. However, architecture is not just drawing boxes and arrows and configuring the technology stack. Technical components and data frameworks are an important part of any architecture – that ranges from network, hardware, software, and data management strategies. Architecture also includes the corporate processes to manage robust data governance, data acquisition, metadata and data quality, data lineage, glossary and business definitions. No data architecture is complete if the metadata, ontology, and taxonomy is also not organized and understood.

From a model-driven framework, most data projects include the restructuring of disparate heterogeneous data assimilated into useful models. The model view can represent any hybrid framework:

• Dimensional (MOLAP, ROLAP)
• Hub and Spoke
• Subscribe and Prescribe integration
• Entity Attribute Value (EAV)
• Data Vault
• Structured and Unstructured
• Data Marts
• Data Migration

Wyntec architects adopt iterative development life cycles and conforming to a hybrid data frameworks that range from Kimball, Inmon, Agile database methodologies. The choice of framework and methodology is strictly driven by assessing customer use cases, aligning strategic goals for the organization to the ideal structures.  

Unlike many other large consulting practices, Wyntec is vendor and framework agnostic. We do not sell one approach over the other, we are experts at all of the frameworks, and we only deliver the right architecture for the customers unique needs.