IBM Informix and Paddy Power – Taking online gaming to another level

Published on 5 May 2014

Understanding your customers is the key to business success, as Paddy Power knows well. “Building a scale-out database architecture on IBM Informix software allows us to assign extra resources to reporting functions to get a better awareness of what our customers are doing, bringing the data closer to our everyday decision-making,”

Shane Sweeny, Head of Engineering at Paddy Power.

Customer
Paddy Power

Industry
Media & Entertainment

Deployment country

Overview

Paddy Power is an international betting and gaming group headquartered in Dublin, Ireland. Employing 4,000 people at locations in Ireland, the United Kingdom, Italy, Australia and Bulgaria, Paddy Power operates 450 retail shops, telephone betting and online betting sites and reports annual revenues of USD902 million. With an average growth rate of 25 percent year on year, Paddy Power is performing strongly in a competitive market. The company’s online business is a key driver behind this growth, today accounting for 81 percent of profits.

Business need
In the highly competitive world of online betting, customers demand a fast pace and even waiting for a few seconds will be enough for customers to move to a competitor. As Paddy Power seizes a greater share of the online betting market, they were looking to support tens of thousands of online users, especially at peak times.

Solution
Paddy Power set out to ensure 24/7 availability and performance by undertaking a complete overhaul of its IT infrastructure, building a super-scalable architecture with IBM® Informix® software at its core.

Benefits
Paddy Power gained a scalable platform for growth, accommodates high volume workloads and sudden peaks in demand cost-effectively. The updated architecture delivers reliability and supports exceptional customer online gaming experience at all times.

Components

IBM products and services that were used in this case study

Software
Informix Server Administrator

Solution
IBM Analytics

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