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Break the "Add More Nodes" Cycle
IBM Netezza data warehouse appliances allow your data infrastructure to scale
Customer Intelligence Appliance
An appliance-based joint solution for omni-channel customer analytics from IBM and Aginity
Leveraging IBM Netezza Data Warehouse Appliances with SAS: Best Practices Guide for Managers
Many IBM Netezza data warehouse appliance customers also use SAS, so it is natural that customers ask about the best way to integrate SAS and Netezza. This white paper summarizes key best practices for managers to consider when implementing a solution with Netezza across a large SAS user community. Companion documents written for SAS Users and Technical Administrators provide more detailed guidance about how to leverage Netezza through individual SAS programs and how to prepare the technical environment, respectively.
Leveraging IBM Netezza Data Warehouse Appliances with SAS: Best Practices Guide for SAS Programmers
This document summarizes key best practices for SAS programmers seeking to leverage IBM Netezza data warehouse appliances with SAS. It is intended to supplement SAS documentation and assumes that the user has completed training in SAS/Access Interface to Netezza and in basic SQL. Refer to the “References” section of this document for details on pertinent SAS and Netezza documentation.
Merkle: Helping clients process hours worth of data in minutes
As chief information and technology officer for Merkle—the nation’s largest, privately held customer relationship marketing (CRM) agency—Russ Pearlman is responsible for applying the right technologies to help some of the biggest names in the consumer packaged goods, retail, financial services, insurance, nonprofit, and travel and entertainment industries understand and engage their customers and constituents. However, for Pearlman, the focus isn’t just on technology. It’s on data. Specifically, how to effectively transform petabytes of raw data into useful information that can better influence marketing processes and predict customer preferences with much greater accuracy.
Smart Consolidation for Smarter Warehousing
A Key IBM Strategy for Data Warehousing and Analytics
The Total Economic Impact Of IBM's Netezza Data Warehouse Appliance With Advanced Analytics - A Forrester Total Economic Impact™ Study Prepared For IBM
In June 2011, IBM commissioned Forrester Consulting to examine the total economic impact and potential return on investment (ROI) enterprises may realize by deploying its Netezza data warehouse appliance with advanced analytics. The purpose of this study is to provide readers with a framework to evaluate the potential financial impact of the IBM Netezza appliance on their organizations.
IBM Netezza Data Warehouse Appliances Provide Competitive Differentiation Through Faster Analytics While Reducing Capital And Operational Costs
Our interviews with one existing customer, Epsilon, a multichannel marketing services provider, and subsequent financial analysis based on assumptions that Forrester used illustrate the potential ROI from the use of IBM Netezza appliances. Epsilon is one of IBM Netezza's largest partners in the campaign marketing industry.
Understanding Analytic Workloads: Meeting the complex processing demands of advanced analytics
Having a basic understanding of analytic workloads is critical to the success of anyone pursuing advanced analytics. In this new Video and White Paper from IBM Netezza, you will better understand analytic workloads and the critical implications for your processing environment.
A Top Global Energy Firm: Saving US$2 million with single source of truth for information
This oil and gas firm operates across six continents with its products and services available in more than 100 countries. As one of the largest oil and gas producers, the firm helps the world meet its growing need for heat, light and mobility, and strives to do so by producing energy that isaffordable, secure and environmentally friendly.
