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Graph analytics is helping e-Commerce retailers enrich the customer experience
It has become more and more important for e-Commerce retailers to find ways to scan huge amount of data for insights so that they can connect with their customers. Today, this connect is becoming increasingly possible by using graph databases says Dr. Yu Xu, the founder and CEO of TigerGraph. According to him, as graph databases mature, they are powering deep insights by supporting queries over connected data. This is helping e-Commerce retailers provide their customers with better shopping experience and benefit from the additional sales and revenue.
Most e-Commerce retailers’ possess immense amount of data. However, traditional analytic solutions appear incapable of deriving sophisticated insight from massive amounts of customer, transaction and external data available with the e-Commerce retailers. What e-Commerce retailers are looking for is the ability to leverage customer segmentation to offer a personalized shopping experience that customers enjoy, engage with and return to fulfill their needs.
Hence, graph databases are the ideal choice for the e-Commerce industry. Graph databases are designed from the ground up to treat relationships as first-class citizens, providing a structure natively embracing the relationships between data. In fact, now graph databases have evolved further and they are capable of providing e-Commerce retailers with deep link analytics. The result is the capture of key business moments, transient opportunities where people, businesses, data and “things” work together dynamically to create value by personalizing the customer experience.
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