Wednesday, August 22, 2012
02:15 PM - 03:00 PM
|Level: ||Technical - Introductory|
Graph databases are one of the NoSQL technologies encouraging a rapid re-thinking of the analytics landscape. By tracking relationships - in a network of people, organizations, events and data - and applying reasoning (inference) to the data and connections, powerful new answers and insights are enabled.
This presentation will explain the advantages of graph databases, and how graphs can be used for a number of important functions, including risk management, relationship analysis and the identification of new business opportunities. It will use a case study in the manufacturing sector to demonstrate how complex relationships can be discovered and integrated into analytical systems. For example, what are the repercussions for the supply chain of a major flood in China? Which products are affected by political unrest in Thailand? Has a sub-subcontractor started selling to our competition and what does that mean for us? What happened historically to the price of an important sub-component when the prices for crude oil or any other raw material went up?
Lots of answers can be provided by graph (network) analysis that cannot be answered any other way, so it is crucial that business and BI executives learn how to utilize the capabilities of graph databases in the enterprise.
Jans Aasman started his career as an experimental and cognitive psychologist, earning his PhD in cognitive science with a detailed model of car driver behavior using Lisp and Soar. He has spent most of his professional life in telecommunications research, specializing in intelligent user interfaces and applied artificial intelligence projects. From 1995 to 2004, he was also a part-time professor in the Industrial Design department of the Technical University of Delft. Jans is currently the CEO of Franz Inc., the leading supplier of commercial, persistent, and scalable RDF database products that provide the storage layer for powerful reasoning and ontology modeling capabilities for Semantic Web applications.