Oracle Exadata
167 Case Studies
A Oracle Exadata Case Study
dunnhumby, the customer-science company, needed to analyze rapidly growing volumes of customer data more deeply and securely while keeping costs under control. Its segmentation and loyalty queries were taking weeks to run, and the company wanted to expand services, improve backup and recovery, and deliver more timely insights for major retail clients. Oracle Exadata Database Machine was chosen to help meet those performance and scalability challenges.
Using Oracle Exadata, dunnhumby accelerated queries from two-to-three weeks to just minutes and cut segmentation analysis from one week to four hours. Oracle Exadata also improved compression by 4x to 30x, boosted backup and recovery performance, and enabled analysis of 100% of data instead of samples, leading to more accurate recommendations, better analyst productivity, and stronger competitive advantage.
Chris Wones
Head of Data Processing Solutions