Data science and machine-learning platforms enable organisations to take an end-to-end approach to building and deploying data science models.
Gartner states the following in the report about SAS:
- “Broad base, strong visibility and mindshare”
- “Updated, modern architecture”
- “Support for a broad spectrum of users: SAS appeals to all users - from business analysts to citizen data scientists to expert data scientists. The visual offering on the Viya platform further leverages this approach”
- “Operational excellence: SAS’ comprehensive worldwide support infrastructure is unmatched”
While Gartner rated SAS low in the areas of data access capabilities and flexibility, extensibility and openness as well as coherence and collaboration (and customer references scored SAS low for lack of open source support and deep learning algorithm capabilities), all these areas have been addressed and implemented with the December release of SAS Viya 3.3. Unfortunately, this release was after the Gartner cut-off date for General Availability software which was August 1, 2017.
Leaders consistently do considerably better in overall campaign management performance for basic and advanced campaigns, and for integration with digital marketing. They have high market visibility, high market penetration, strong market momentum and a strategic vision for growing the campaign management business.