BI Trends

The Enterprise Semantic Graph: Laying the Foundation for Revolutionary Applications

As forward-thinking organizations strive to become more intelligent enterprises, they are focusing on driving adoption of trusted analytics through AI—to make everyone and every minute more productive. As part of this, over the next 12 months we’ll likely see these organizations doubling down on their commitments to building a solid semantic or metadata foundation.

The motivation is straightforward: data assets that we depend on are furiously multiplying, and the semantic foundation is the only way to index and organize disparate versions of the truth. The federation of data assets into a single, coherently articulated semantic model will serve to be the foundation for trusted and governed analytics, on top of every current and future investment. This will make it incredibly easy to find new insights, build trusted applications, and ultimately grow adoption.

Complementing metadata content with usage telemetry helps power AI experiences.

With MicroStrategy 2019, the semantic foundation has evolved significantly. It supplements the foundational business glossary and metadata content with real-time usage information and system and location telemetry, and powers the system with recommendation and insight engines. By providing personalized, contextual recommendations and insights, the Enterprise Semantic Graph delivers an enriched index for the enterprise that can power a new generation of AI applications.

MicroStrategy 2019 introduces the industry’s first Enterprise Semantic Graph. It elevates the potential of enterprise data assets, makes true federated analytics possible, and delivers personalized insights based on who you are, where you are, and what you’re doing. It delivers powerful search capabilities on top of all business information systems or data assets, making it incredibly easy to find insights. It categorizes and federates each of your data investments in real time, constantly enriching the index with location intelligence and usage telemetry. It delivers the underlying strength to fuel AI experiences for every role—with smart recommendations on authoring actions for analysts who build dashboards, to smart suggestions on content for business users who are looking for new insights.

A long-term investment that will make data inescapable.

Generating the semantic graph takes perseverance, commitment, and time. Like any intelligence system, the more data it has and the more training it gets, the better it will perform as a precise and useful foundation—one that can deliver contextual and personalized analytics, that is not just predictive, but prescriptive. It will almost certainly mean that organizations need to launch new efforts, with roles and strategies to further the semantic investment. The outcomes may not be immediate, but the long-term value will be indisputable. Ultimately, it will make data and insights inescapable, for every single person and every single workflow.

The single biggest impact of the Enterprise Semantic Graph is that it makes data and analytics truly pervasive. The rise of self-service analytics over the past decade has done wonders, but only for the privileged few with the time, skill, and inclination to conduct their own analyses. The Enterprise Semantic Graph makes a whole new class of immersive, zero-click applications and experiences possible, and presents a breakthrough in the adoption of intelligence, even at the very edges of your organization.

To learn more about how the transformational MicroStrategy 2019 platform can revolutionize the way everyone throughout your organization accesses information, finds answers, and makes decisions, watch our webcast or join us at MicroStrategy World 2019.
 

Comments Blog post currently doesn't have any comments.
Security code
custom.divId_social-share_Class_icon-block-groupM