Customer Knowledge Graph.
Once all your data is connected in a graph, it is easy to leverage it as a knowledge graph. Natural Language Processing (NLP) is used to capture topics and sentiment from unstructured and structured data of customer data and add it into the graph. Our Knowledge graphs for targeted marketing and personalization of emails for customers can be used anywhere customer information needs to flow, and where data needs to be linked.
Why a Knowledge
Graph ?.
The knowledge graph connects all customer records stored and helps in retrieving individual customer data to gain insights on the requirements and problems faced by your customers. The NLP extraction segregates the different components of sentences, from both structured and unstructured data which in turn is used to build the knowledge graph of customers. This gives a 360-degree view of all your available customer data.
The Benefits Customer Knowledge Graph .
Highly Visible Business Information.
The search engine to create answers to people’s queries. The technology and internet driven people can search and look on for their queries.
User Friendly Experience.
Knowledge graph helps giving users a good experience and ultimately in achieving potential viewers and customers.
Business Credibility
By displaying the number of reviews and ratings with a driving force for the increment in traffic of your website.