Ahold
Ahold, a division of Netherlands-based Royal Ahold - the world's third-largest food retailer, encompasses nearly 800 stores nationwide. Although Ahold's data has been steadily increasing by the terabyte, the NPS data warehouse appliance lets them process, store and manage this data in record time and at a lower cost. As a result, today they are running 133% as many analyst reports by nearly 20% more users and overall productivity has increased by 25%. And the lower total cost of ownership of the NPS system vs. the Oracle-based system means they've substantially reduced the overall cost of their data warehouse. Learn more>>

FloraHolland
FloraHolland, the world-leading trader of plants, flowers and horticultural products, has deployed Netezza for a variety of commercial and logistical analyses using radio frequency identification (RFID). FloraHolland uses RFID technology on its Netezza platform to track the location of flower carts so it can then analyze the effectiveness of its business with regards to lead time of flower carts, delivery times, efficiency of employees and overall error margins. The information is also used for comprehensive product, sales and market analyses. "The Netezza Performance Server is a dream solution for us. It helps us exactly where we need it to - in the heart of our data warehouse." Learn more>>

Pacific Sunwear of California
Pacific Sunwear of California, commonly referred to as PacSun, is implementing Netezza as its enterprise data warehouse (EDW) to provide an integrated multi-channel BI solution, with MicroStrategy as its front end BI application and QuantiSense as the project manager and integrator. PacSun will run analytics on key merchandising, inventory metrics, finance, marketing and store operations data to provide insights on sales trends and inventory investments of its product by specific regions, demographics and stores. The Netezza/MicroStrategy/QuantiSense solution will provide a high-level view of these key performance indicators in addition to interactive dashboards and reports for executive analysis. Learn more>>

Ross Stores
Ross Stores, the nation's second largest off-price company, has an opportunistic approach to buying merchandise. But buyers were waiting too long for information they needed to make buying decisions. By moving its data warehouse to Netezza, complex merchandise reports that had taken Ross Stores days to process now take five minutes. Simpler queries are even faster - 70% of queries come back in 10 seconds and 96% within a minute. Additionally, administrative time has been significantly reduced and weekly uploads of new data are 50x faster, improving uptime. Learn more>>

Sapporo Holdings
Sapporo Holdings Ltd, a leading Japanese brewery, has been reaping the benefits of recent changes in the Japanese brewing industry. However, the company wanted to take advantage of increased sales in its main brands to improve the marketing efforts of its other products while formulating more strategic marketing initiatives overall. With Netezza, Sapporo can process queries on massive data sets 30-60x faster, facilitating better and faster decision-making both at manufacturing sites and within managerial levels. Meanwhile, Netezza's low-power solution reinforces Sapporo's corporate philosophy to preserve the environment in all operational processes. Learn more>>

Large ISP
One of the largest ISPs in the world has over 90TB of Netezza deployed in a hub and spoke EDW for analyzing clickstream data. They are using Netezza's data warehouse appliance to understand advertising effectiveness and to spin up "teramarts" (or very large marts) on demand for quick, deep analysis of web behavior. Learn more>>

Large E-Business
A very large e-business was running sophisticated clickstream analyses to identify and combat click fraud. On its existing Oracle data warehousing system, these analyses would take days at a minimum and consequently limited the organization's efforts in combating fraud efficiently. Today, with the Netezza data warehouse appliance, the company can do the same analysis in a few hours with much more data, and is realizing significant benefits as a result.