All data implementations are unique, but their architecture doesn’t have to be. Wyntec mentors leverage a canonical framework that maps your use cases to a layered architecture that has proven itself to be the roadmap clients need for their data. Your details are unique, but the structured framework organizes the architecture so that users and stakeholders can more quickly access what they need.

The framework is simple and you probably already have a lot of these assets ready to go. Wyntec will meet you where you’re at to align your current assets to the framework or extend your assets using this approach. You know your data and you know what you’re trying to accomplish. We can make sure you get there efficiently and have a base for future expansion. While the framework reads from left to right, your journey through it can start with your most important need.

Sources
Data is everywhere and your organization likely gets a lot of it from a lot of different places in a lot of different formats. Wyntec has the experience and capabilities to work with any data from any source you may receive including all types of files, other databases or API calls. These sources need to be organized and available in order to create business value.

Acquisition
Data Acquisition is the art of getting your data from however it’s received into a usable format for your operations. This shouldn’t be an exercise in rocket science that takes weeks or months, but needs to be robust enough to ensure that downstream business users have the lineage and traceability they need to be confident in the data they will later use. Wyntec’s data acquisition is managed by A2B Data™ and works by using efficient design patterns to move your data at lightning speed into your data architecture. Your incoming data is quickly moved into your enterprise data lake, stage, land or other appropriate structures with history maintained so you can always trace back what was received and when it came. Active Data Staging should be the easiest part of your data journey.

Transformation
Transformation is where the data fun begins. Once your received data is stored in usable objects in the acquisition layer, rules are applied. In this layer your data will become modeled and transformed into data sets that can support your business needs. Our industry specific models will conform your data into purposeful models best suited to your use cases in a hybrid approach utilizing Normalized, Kimball, Inmon, Data Vault, EAB or Hub & Spoke as necessary. The models support structured or unstructured data and can be multi-sourced so your complex organization can easily access your data and build upon the foundation as you grow.

Access
Once data is available, organized and conformed as necessary, security policies and monitoring of the data assets occurs in this layer. This layer includes objects created for specific business purposes as well as quality control structures. Data marts, analytical models and other required user structures are created based on application of a security rules engine to ensure each consumer gets access only to the data they are authorized to receive. This layer also includes structures for quality assurance and audit, balance and control processes so that users can be confident in the data they are accessing.

Submission
Sharing your data outside of your domain is the final layer in the architecture. Data in this environment is organized to be shared. When you need to send data feeds, messages, create portals, etc. outside of your environment, this layer manages the process. In this way, you’ll always have access to what has been sent outside of your domain for troubleshooting or audit compliance.

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