Gartner Bi Vendors and Capability Anaysis
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Critical CapabilityDefinitionVendor Average and Rank
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Bi Platform AdminCapabilities that enable scaling the platform, optimizing performance, and ensuring high availability and disaster recovery.4.08Excellent
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Security and User AdminCapabilities that enable platform security, administering users, and auditing platform access and utilization3.65Good
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Data Source ConnectivityCapabilities that allow users to connect to the structured and unstructured data contained within various types of storage platforms, both on-premises and in the cloud.3.29
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Embed Analytic ContentCapabilities including a software developer's kit with APIs and support for open standards for creating and modifying analytic content, visualizations and applications, embedding them into a business process, and/or an application or portal.

These capabilities can reside outside the application (reusing the analytic infrastructure), but must be easily and seamlessly accessible from inside the application without forcing users to switch between systems. The capabilities for integrating BI and analytics with the application architecture will enable users to choose where in the business process the analytics should be embedded.
3.29
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Self-Contained ETL and Data StoragePlatform capabilities for accessing, integrating, transforming and loading data into a self-contained storage layer, with the ability to index data and manage data loads and refresh scheduling.3.27
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Ease of UseThis is a composite score that includes ease of administration and implementation, ease of content authoring, and ease of consumption for end users.

In assessing ease of use, we considered customer opinion for absolute scoring but have also included ranking information for relative comparisons.
3.15
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Interactive Visual ExplorationThe exploration of data via the manipulation of chart images, with the color, brightness, size, shape and motion of visual objects representing aspects of the dataset being analyzed.

This includes an array of visualization options that go beyond those of pie, bar and line charts — including heat and tree maps, geographic maps, scatter plots and other special-purpose visuals. These tools enable users to analyze the data by interacting directly with a visual representation.
3.02
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Analytic DashboardsThe ability to create highly interactive dashboards and content, with visual exploration and embedded advanced and geospatial analytics, to be consumed by others.2.85Fair
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Cloud BiPlatform as a service (PaaS) and analytic-application-as-a-service capabilities for building, deploying and managing analytics and analytic applications in the cloud, based on data both in the cloud and on-premises.2.65
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Publish Analytic ContentCapabilities that allow users to publish, deploy and operationalize analytic content through various output types and distribution methods, with support for content search, storytelling, scheduling and alerts.2.65
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Self-Service Data PreperationDrag-and-drop, user-driven data combination of different sources, and the creation of analytic models such as user-defined measures, sets, groups and hierarchies.

Advanced capabilities include semantic autodiscovery, intelligent joins, intelligent profiling, hierarchy generation, data lineage and data blending on varied data sources, including multistructured data.
2.56
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Governance and Metadata ManagementTools for enabling users to share the same system-of-record semantic model and metadata.

These should provide a robust and centralized way for administrators to search, capture, store, reuse and publish metadata objects, such as dimensions, hierarchies, measures, performance metrics/key performance indicators (KPIs), and report layout objects, parameters and so on. Administrators should have the ability to promote a business-user-defined data models to a system-of-record metadata object.
2.44
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Embedded Advanced AnalyticsEnables users to easily access advanced analytics capabilities that are self-contained within the platform itself, or available through the import and integration of externally developed models.2.33
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Mobile Exploration and AuthoringDevelopment and delivery of content to mobile devices in a publishing and/or interactive mode that takes advantage of the native capabilities of mobile devices (such as touchscreens, cameras, location awareness and natural-language query).2.27
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Collabaration and Social BiEnables users to share and discuss information, analysis, analytic content and decisions via discussion threads, chat and annotations.1.85Poor
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Average2.89Fair
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1 = Poor or Absent: Most or all defined requirements for a capability are not achieved.
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2 = Fair: Some requirements are not achieved.
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3 = Good: Meets requirements.
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4 = Excellent: Meets or exceeds some requirements.
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5 = Outstanding: Significantly exceeds requirements.
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Critical Capability Summary
Data Vis Rankings
Critical Capabilities
Vendor Capability Ave
Critical Capabilities Small
Vendor Capability Small