enterprise knowledge graph - mixprize.org · graph store – deployed data aggregation –...
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Enterprise Knowledge Graph
Today knowledge has power. It controls access to opportunity and advancement „
„
Peter Drucker
If we only knew what we know, we would be 30 percent more productive „
„
Lewis Platt
2.5 billion gigabyte per day
80 % of enterprise data is unstructured
Knowledge in companies is hoarded in various datasilos. It is hard to find the right information.
$550 Billion in lost productivity per year in U.S.
By 70% unengaged employees.
highly effective internal information infrastructure
leads to 47% higher returns Compared to companies with least effective infrastructure
Organize and Distribute the company’s information and Make it universally accessible and useful for every employee
© 2014 SAP AG. 9 Public
Facebook – Social Graph (related)
© 2014 SAP AG. 10 Public
Google – Knowledge Graph (related)
EKG -Concept
© 2014 SAP AG. 12 Public
The Enterprise Knowledge Graph …
… is a disruptive platform that combines emerging Big Data and graph technologies to reinvent knowledge management inside organizations.
… replicates the unique network of an organization with most of its relevant entities into a graph database.
© 2014 SAP AG. 13 Public
EKG - Concept
© 2014 SAP AG. 14 Public
EKG - Buzzwords
© 2014 SAP AG. 15 Public
Data Aggregation
© 2014 SAP AG. 16 Public
EKG – The Knowledge Layer
© 2014 SAP AG. 17 Public
EKG – Use Cases
Automatic Tagging
Social Network Analysis Gamification System
Enhanced Enterprise Search
Context Awareness Duplication Detection
Security Gap Detection Information Flow Modeling
Enterprise Recommendation System
Intelligent Business Assistant
Enhanced Employee Profile
Expert Finder
© 2014 SAP AG. 18 Public
© 2014 SAP AG. 19 Public
Use Cases – Enhanced Search
EKG -Implementation
© 2014 SAP AG. 21 Public
Enterprise Ontology Model (simplified)
© 2014 SAP AG. 23 Public
Prototype – powered by SAP HANA
© 2014 SAP AG. 24 Public
Prototype - Visualization
© 2014 SAP AG. 25 Public
Prototype - Status
30 Connected
Datasources
1 Million
Aggregated Entities
4 Million
Aggregated Associations
20 Entity Types
Graph Store – Deployed Data Aggregation – Implemented Knowledge Access – Implemented Data Visualization – Implemented Data Analysis – In Development Recommendation Engine – In Development
8 Different
APIs
Thanks Concept by Lukas Masuch
Contributors: Cirrus Shakeri, Ondrej Jaura, Hartmut Vogler