Value proposition

We are a global Data Analytics & AI software company. We make it easy for you to get more value from your data.

Cardinality is a young, vibrant and dynamic company in the field of big data analytics. Our solution, Cardinality Perception, leverages the latest open source components which when combined together with our advanced software and algorithms produces actionable information and insights in near-real time. It is proven to scale, and is in production as one of the largest Hadoop implementations at a mobile telecommunications operator in Europe.

We are unique, having an in-house group of experienced domain experts, architects, data scientists, developers and business executives, who each understand our end-customer's requirements. Our team of data scientists includes academics with advanced degrees in mathematics and physics passionate about solving problems using data and algorithms, creating the models to analyse data and presenting the information to provide real value our end users whether in Engineering, Marketing, Customer Care or a CxO.

One of Cardinality's production customers is currently processing over:
350,000-400,000 complex event enrichments per second (~35 billion per day)
ingesting 4-5 TeraBytes of compressed data (32 to 40 terabytes uncompressed) per day
35 to 40 billion rows of data per day
and this is growing every day.

Example Use Cases for Mobile Telecommunications include:
Subscriber driven coverage analysis including location and tariff correlation
Per device analytics to evaluate performance and troubleshoot issues
Web and Video Quality Experience Index
Control and User Plane analytics

Cardinality's technology is domain independent, and is already being deployed in other business verticals outside Telecommunications.

By leveraging Open Source software, we offer very cost effective solutions compare to traditional database vendors. They can be implemented in hours on most cloud providers, or on your own commodity hardware. Return on Investment (RoI) is measured in weeks/months not years

Real Time Analytics, Big Data, Customer Experience, Data Science, Business Process Optimisation, Operational Efficiency, artificial intelligence, and Machine Learning