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BlueDolphin is on a continuous mission to help organizations accelerate their digital transformation initiatives through agile, data-driven, collaborative Enterprise Architecture. We believe in the strength of Enterprise Architecture, Solution Design, and Strategic Planning to make your business transformation comprehensive and simple. Digitalization and market developments require your organization to continuously adapt, resulting in a constant need of data-driven insights for your strategic planning. That's why we have built the AI-powered BlueDolphin platform: to help you control your strategy and corresponding business change initiatives through EA. It aligns your objectives, IT, people, and the rest of the business, providing you with the insights needed to reach your goals, and move towards your future state.
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First, the repository (shared environment) is super useful because objects in it are connected in a way that lets you move naturally from one view to another without losing context. This makes it much easier to explain relationships between processes, applications, data and initiatives. Second, BlueDolphin excels in collaboration. This, in my opinion, is one of the best parts of the product. It significantly lowers the barrier for people outside the core architecture team to contribute, review, and consume the content. Third, another major strength of BlueDolphin is its Modeling Flexibility. When modeling, conventions and templates can be configured to support multiple audiences creating consistent views without having to rebuild everything from scratch every time.
The way that you can configure templates so you can easily create several architecture models in a short amount of time
strong point: - hyperlinks in between the objects - easy to draw processes - speedy development new features - view on impact of changes in our application landscape
Weaknesses we have identified include but are not limited to, first, BlueDolphin does not cover every modeling language or specialist notation at the same level. This translates into the architecture teams having to agree on conventions and work within the platforms strengths rather than expecting it to handle every style equally. Second, data modeling feels like an area that is ripe for further development/improvement. From experience, we have found that some of the advanced modeling capabilities could be more complete. Third, while the platform is flexible, that same flexibility can become a drawback for some teams as first-time experience can feel less guided than other competitors in the same space. For teams that are just onboarding, the likelihood that they want more built-in structure around step-by-step workflows is high.
BlueDolphin supports a variety of techniques and standard which geives a lot of discussion between architectures when using it
Absence of workflow's to do a step by step design with all the necessary components