The platform provides a nice balance of structure around the definition of data relationships, but flexibility to model your data network in a manner that supports the use case. While the ultimate vision within the app is obviously geared at a fully integrated data fabric, it doesn't stop you from deploying it more as a toolkit that supports fit for purpose exercises along the lines of data profiling or workflow design.
My first couple of days working with Cinchy I built out a live representation of the data model that was implied under a project design, and found myself with a candidate network that highlighted a couple of key datasets which would support a level of elegance in our long term design. The visualization gets people's attention in a meeting, but it actually helps with data profiling in a sandbox style use case as well.
The ability to create master tables and have it apply broadly across different 'rooms' or profiles which will help ensure the consistency and accuracy of information as it is utilized for different purposes. As well as the ability to visualize how all the data points are connected to each other.
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