360 Degree Customer View

Technology Category

Analytics & Modeling - Real Time Analytics
Application Infrastructure & Middleware - Data Exchange & Integration
Platform as a Service (PaaS) - Data Management Platforms

Applicable Industries

Telecommunications

Applicable Functions

Business Operation

Services

Software Design & Engineering Services
System Integration

The Challenge

Growing revenue from existing customers is challenging when data is locked in separate silos across various systems. Traditional relational databases and legacy mainframe systems are inadequate for the modern digital world that requires agility and innovation. Real-time analytics on large volumes of data suffer from latency issues, and database-to-grid architectures create more points of failure and increase processing time.

About The Customer

Comcast Corporation is a global media and technology company with two primary businesses, Comcast Cable and NBCUniversal. Comcast Cable provides video, Internet, and voice services to residential customers under the XFINITY brand. The company is deploying Hazelcast IMDG into their customer management infrastructure to make all user data available to all users on their TV systems. This deployment aims to improve the customer experience by reducing latency for on-demand content stored on set-top boxes.

The Solution

Hazelcast IMDG offers a schema-less data store that can adapt to changing data needs and accelerate time to production. It scales with less effort than NoSQL and RDBMS, reducing operational involvement and hardware costs. As a fully in-memory data store, Hazelcast IMDG can transform and ingest data in microseconds, providing high throughput and query performance. It serves as both a distributed computation system and a data store, eliminating network transit latency penalties. Hazelcast IMDG supports multiple network discovery mechanisms and has clients for several programming languages, making it ideal for Microservices architectures.

Operational Impact

Hazelcast IMDG enables real-time access to integrated customer data, improving customer service and satisfaction.
The in-memory data grid reduces latency for on-demand content, enhancing the user experience on Comcast's TV systems.
The solution supports multiple programming languages and serialization mechanisms, offering flexibility and ease of integration.

Quantitative Benefit

Repeat customers spend an average of 67% more than new customers.
A 5% increase in customer retention can lead to a profit increase of between 25% and 95%.