In this talk Dylan will explain how Neo4j offered a way to consider the connectivity of a water network when querying datasets like events against contacts. The specific challenge that prompted Dylan to turn to Neo4j was identifying a link between supply interruptions (people don't have water) and the complaints Thames Water received.
Various people had tried to model that link but without considering network connectivity. That doesn't work very well because it leads to associating unconnected events. The model Dylan built in Neo4j worked really well and has since been used on other challenges like data cleanse and some water domain-specific tasks.
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