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Magic Quadrant for Business Intelligence and Analytics Platforms

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Magic Quadrant for Business Intelligence and Analytics Platforms
G00239854

Magic Quadrant for Business Intelligence and
Analytics Platforms
Published: 5 February 2013

Analyst(s): Kurt Schlegel, Rita L. Sallam, Daniel Yuen, Joao Tapadinhas

The dominant theme of the market in 2012 was that data discovery became a mainstream BI and analytic architecture. The market also saw increased activity in real time, content and predictive analytics.

Market Definition/Description
Gartner changed the name of this Magic Quadrant from "Business Intelligence Platforms" to
"Business Intelligence and Analytics Platforms" to emphasize the growing importance of analysis capabilities to the information systems that organizations are now building. Gartner defines the business intelligence (BI) and analytics platform market as a software platform that delivers 15 capabilities across three categories: integration, information delivery and analysis.

Integration


BI infrastructure: All tools in the platform use the same security, metadata, administration, portal integration, object model and query engine, and should share the same look and feel.



Metadata management: Tools should leverage the same metadata, and the tools should provide a robust way to search, capture, store, reuse and publish metadata objects, such as dimensions, hierarchies, measures, performance metrics and report layout objects.



Development tools: The platform should provide a set of programmatic and visual tools, coupled with a software developer 's kit for creating analytic applications, integrating them into a business process, and/or embedding them in another application.



Collaboration: Enables users to share and discuss information and analytic content, and/or to manage hierarchies and metrics via discussion threads, chat and annotations.

Information Delivery


Reporting: Provides the ability to create formatted and interactive reports, with or without parameters, with highly scalable distribution and scheduling



References: Performance Management, Worldwide, 2011").

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