Customer experience can be immensely enhanced by combining different data in a single place, creating relationships, building ontologies on top of it for auto correlation and real-time stream processing for higher and predictive intelligence.

When it comes to customer experience, the company needs to be proactive in addressing the concerns and issue resolution. While every company has all the different data related to the customer and their interactions, purchases etc. But these are not correlated in a fashion where anomalies, issues and problems could be predicted or identified in real-time for any resolution. Further, a single pane of glass is needed for the customer care team to respond to the customer queries in a satisfactory and timely manner.

Automation and joining across different data is required. Graph and/or Ontology need to be created. Real-time messages, interactions, and other clickstream data need to be ingested, processed and analysed for further actions. This requires a platform which streams data into the system for real-time processing but at the same time stores the data in a graph store for various linking and correlation and finding patterns etc. Further, several AI models need to be trained in a continuous and automated manner. Therefore, a converged data platform is needed where Stream Processing, Graph Store, AI and multi model data processing and analysis support is available out of the box