Most Enterprises have collected large bodies of data that describe interactions between their customers. Consider the graph of claims and policies for an insurance provider, telephone calls and SMS for a Telco, and links between payments by customers of financial institutions. Graph databases can be used to mine these social interactions to better understand customer patterns and opportunities.
Relational databases are fundamentally unfit to explore the graph within a social network and Big Data solutions (Hadoop, etc) are usually not meant to work with sparse graphs. The mature capabilities of Graph Databases have made them the optimal approach to mine these social networks.
During this presentation, we will discuss applications of graph mining to show the relationships discovered through "Similarity" and "Social" graphs.
To register for this webinar, see https://www2.gotomeeting.com/register/252265562
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