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Here's Who Made Gartner's 2018 Magic Quadrant For Business Intelligence And Analytics Platforms
Analytics And BI Platform Magic Quadrant Methodology
Vendors were defined and assessed according to product capabilities across five use cases: agile centralized BI provisioning, decentralized analytics, governed data discovery, OEM or embedded BI, and extranet deployment.
The 15 critical product capabilities were in five areas: infrastructure (BI platform administration, cloud BI and data source connectivity and ingestion); data management (metadata management, self-contained ETL and data storage, self-service data preparation, and scalability and data model complexity); analysis and content creation (advanced analytics for citizen data scientists, analytic dashboards, interactive visual exploration, augmented data discovery, and mobile exploration and authoring); sharing of findings: (embedding analytisc content, publish/share/collaborate on analytics content); and overall platform capabilities (ease of use, visual appeal and workflow integration).
Vendor positioning in the Magic Quadrant is determined by their ability to execute and completeness of vision.
Ability to execute is based on how a vendor's product or service stacks up against the 15 critical capabilities, as well as their sales execution, market responsiveness and track record, operations and overall viability.
Completeness of vision is judged on their understanding of how market forces can be exploited to create value for customers and opportunity for themselves and their ability to support the key trends that will drive business value in 2018 and beyond. Specific criteria include vendors' ability to innovate and their product, sales, marketing and vertical industry strategies.