Customer data hub for
Customer data is typically siloed in dozens of applications and data islands, in many different formats and technologies.
To address this data fragmentation, many companies have deployed data warehouses and data lakes, which are designed for offline business intelligence and machine learning. However, these big data stores are not designed to handle real-time, operational use cases – such as delivering a real-time, single view of the customer, or next-best-action recommendation for a specific customer.
The K2View Customer Data Hub is based on a data fabric architecture to deliver data consumers with complete customer data in real time, and feed customer data updates back to underlying systems – also, in milliseconds.
The CDH stores data securely in compressed and encrypted micro-databases, and is built over a distributed architecture, for enterprise-scale and sub-second performance.