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Companies have struggled to gain value from data lakes. They require extensive preparation and coding to make data accessible and queryable, making them prohibitively expensive and slow for analytics. As a result, data and analytics teams spend the bulk of their time wrestling data problems vs. delivering analytic insights, costing organizations billions in lost productivity and missed opportunities.
An Enterprise Knowledge Graph can fill that critical gap in modern data and analytic tech stacks. It fits nicely between where data is stored, cataloged, and consumed to eliminate data access barriers, add meaning to data through semantic models, and promote a culture of self-service and self-sufficiency.
Join our session and see what an Enterprise Knowledge Graph is and how you can:
- Streamline access to your data
- Discover new insights through inference
- Empower your analytics
Solutions Consultant, Stardog
Tim has over 12 years of data management experience. His past roles include working for the likes of Deloitte and Accenture as a PMP-certified consultant to deliver projects ranging from Enterprise Knowledge Graphs to Data warehouses. He currently works for Stardog helping clients make quicker business decisions through the implementation of Enterprise Knowledge Graphs.