Catalina Marketing
Catalina houses 100+TB on Netezza, enabling targeted promotions through rapid accessibility of 400B market basket records from 22,000+ retail locations every day. Catalina performed an attitudinal analysis of households that determined, based on historical purchasing behavior, which use milk to lighten their coffee and may be convinced to utilize a branded product. Because Catalina was able to increase the efficacy of their analysis, the customer was able to increase the ROI of its marketing campaign by over 30%. Learn more>>

Beyond these SQL-based analyses, the performance, cost and simplicity advantage of Netezza's appliances has enabled Netezza customers to push the boundaries of analytics, performing non-SQL analyses that were previously too slow, expensive or even impossible with traditional data warehouses. Instead of moving enormous amounts of data out of the data warehouse to an analytics server for processing, Netezza is bringing analytics to the data — embedding complex non-SQL algorithms used by analytics applications within the NPS appliance so they can be run "on stream," as fast as the data streams off the disk. Netezza appliances are laying the foundation for a new generation of analytics which were previously impossible, impractical or unaffordable within traditional data warehouse solutions. Examples include:

Predictive Model Scoring
Many companies use predictive modeling to finely segment their customers and make real-time decisions about promotions, pricing, fraud and other applications. This typically involves a time-consuming process: after transaction data is loaded into the data warehouse, the company performs large extracts to a separate cluster server system. The data must be denormalized and then fed back into a predictive modeling application for the actual scoring. Eventually, a score for each customer is loaded back into the data warehouse. The total round-trip can take hours, dominated by the latency of large data transfers. This entire process can now be done within the Netezza appliance, in a fraction of the previous time, enabling real-time offers and promotions to the right customers.

Geospatial Analytics
A global risk management firm demands real-time access to geospatial and relational data to minimize risk and maximize premiums, but catastrophe modeling queries took 6 to 8 days to run and sometimes never completed. With Netezza's on stream solution, queries can be executed in near-real time - allowing organizations to more effectively identify and respond to catastrophic scenarios.

Enhanced Fuzzy Name Search
National security applications rely on fuzzy name searches to perform complex analyses on billions of text records, but fuzzy text analytics are virtually impossible via a SQL interface and sampling methods must be used to identify matches. With Netezza, fuzzy name searches are run on the entire database in near-real-time - enhanced fuzzy name searches that required 6 hours can run in 8 seconds "on-stream!"

Telco Dynamic Billing and Pricing
Telcos demand real-time execution of rating and pricing structures to sustain competitive advantage, but significant throughput limitations and poor performance make these analyses extremely difficult, complex and costly to run. Using Netezza, new applications are made possible, including re-pricing analyses for "what-if" market scenarios, just-in-time rating decisions for high transaction rate billing systems and cost and revenue re-rating for margin analyses.

Netezza is driving innovation in analytics through the Netezza Developer Network (NDN). Developers of analytic applications around the world are leveraging Netezza's high-performance streaming analytic platform for competitive advantage. Click here to learn more and to join the NDN.