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Apart from SAS Viya's capabilities as a platform with a lot of opportunities and solutions, what stands out the most is the vendors' effort in working together with us solving the issues that occurred during migration. Having access to SAS R&D as well as SingleStore and Apache Airflow resources when needed, has been a key element in making this possible within the timeline available.
I appreciate SAS Viya's integrated, multi-tool platform capabilities that allow me to manage the entire spectrum of modern data analytics tasks
I think SAS Viya stands out as the most comprehensive and robust data analysis software for having a good set of visualization and statistical tools to use, plus features for creating interactive dashboards.
The main issue we encountered was that part of the software was not 100% finished at the level we expected. To mitigate the most important parts, it was critical that we had skilled SAS consultants on the project, as well as a close relationship with SAS R&D. Hence, we got many of the fixes we requested delivered and applied without too many delays. We are also an early bird as a customer on SAS Viya with both SingleStore and Airflow as a hosted managed service, with the good and the bad following that scenario / choice. This is also the reason why I'm scoring some parts only as average, since we have yet to find the correct balance of what we as the customer should be allowed to administrate ourselves.
I understand the backward compatibility idea, but most things in SAS are overcomplicated compared to modern languages. The lack of modern conventions and the fact that the core syntax hasn't changed for decades is a challenge in efficiently implementing tasks. The inconsistency across procedures is a challenge in maintaining existing code.
The software bugs down sometimes and you have to re-log in. SAS Viya could also add more capabilities for editing different parts or sections of a visualization and also a capability to export a page showing the expanded version of the models. For example, when you export a decision tree, what is exported is only what is visible on screen. For a decision tree with a number of levels, it cannot fit on the screen. Maybe this is something they could work on. And although I don't necessarily dislike it, but it would be great to have an AI assistant embedded in the platform to help with analyzing and interpreting data models and visualization, as well as suggesting appropriate models for particular cases.