SAP, SAS and IBM are meeting most Completeness of Vision requirements and own a large portion of the installed base market share. They are investing aggressively to close gaps and regain momentum and differentiation through a next-generation, smart data discovery experience featuring self-service data preparation and automated pattern detection with natural-language query and generation for smart data discovery. They are also positioning their integration with their enterprise platforms to support governed data discovery as key differentiators. These vendors must translate their vision into renewed market momentum, including outside their installed bases, and improve their customer experience and delivery of business value to remain in the Leaders' quadrant in the future.
- SAS has had better traction, adoption and customer experience than IBM and SAP as a result of its major commitment to SAS Visual Analytics, its data discovery capabilities, as its go-forward BI platform. SAS has leveraged its advanced analytics strengths into compelling differentiators around smart data discovery in Visual Analytics.
- SAP has invested aggressively in Lumira with forward-looking capabilities around smart data discovery leveraging its KXEN acquisition and self-service data preparation. It also has a clearer road map than IBM on how Lumira integrates with the rest of its BI stack (Hana, SAP BusinessObjects).
- IBM has a compelling vision for Watson Analytics — combining self-service data preparation, natural-language query generation and exploration, automatic pattern detection and prediction, and visual storytelling — that will likely drive future market requirements. However, its road map for how this capability will integrate with and breathe momentum back into IBM Cognos is less clear.
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