IBM Netezza data warehouse appliances are purpose-built to make advanced analytics on large volumes of data simpler, faster and more accessible. Now, companies like AOL, eHarmony, Intuit, Nielsen and Acxiom can better understand their customers and increase revenues by delivering the right message to the right audience at the right time.
With its high-speed performance and simplicity, the IBM Netezza data warehouse appliance optimizes essential digital media solutions such as:
- Ad Targeting (search, display, email, direct mail)
- Website Optimization
- Yield Optimization
- Attribution Analysis
- Ad Sales Analysis and Inventory Forecasting
- Click Fraud Analysis
- SEM Keyword Portfolio Bid Price Optimization
- Network Usage Analysis
With IBM Netezza data warehouse appliances, digital media firms can analyze results in minutes or seconds, not days or hours, so they can run multiple iterations of analysis to quickly find and address problems, optimize ad campaigns, develop behavior-based customer loyalty programs, deliver personalized website content and respond in real-time to changing audience behaviors.
IBM Netezza data warehouse appliances are easy to implement, quick to deploy and simple to maintain for optimal efficiency and fast time to value.
Customers
- AOL
- Intuit
- Demand Media
- Bluekai
- Exelate
- X+1
- Datalogix
- Interclick
- Infospace
- Thomas Cook
- Media Innovation Group
- Click 2
- My life
IBM Netezza Data Warehouse Appliance Products
- IBM Netezza 100
An extremely versatile, compact, purpose-built, easy to install data warehouse appliance designed for test and development. - IBM Netezza 1000
Purpose-built, standards-based data warehouse appliance that architecturally integrates database, advanced analytics, server and storage into a single, easy-to-manage system that offers significant performance and scalability. - IBM Netezza High Capacity Appliance
Accelerating the industry’s leading massively-parallel data warehouse architecture to multi-petabyte scale, creating a “queryable archive” that can store, query and analyze thousands of terabytes of data quickly and cost-effectively.
