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North Carolina Using SAS to Manage Workforce and Tackle Shortfalls
SAS Helps Drive Sustainable Business Strategies
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Open Text Launches Transactional Content Processing Solution
The Song Remains the Same - Data Shadows Systems Continue to be Pervasive for Reporting and Analytics: BI and DW Trends, 8 for '08
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Transforming Excel into a Powerful Tool
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EDM: A Systematic Approach to Smarter Decisions
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Decision Support Systems in the Twenty-First Century: DSS and Data Mining Technologies for Tomorrow's Manager
Developing Analytical Database Applications
Clinical Decision Support Systems in Theory and Practice
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The Netezza Performance Server (NPS) family of streaming analytic appliances are designed specifically for high-performance, terascale analytics, and architecturally integrate a relational database, server and storage into a single compact and power-efficient unit. The systems advantage comes from its patented streaming architecture. Netezza has placed processing power next to the data, so analysis occurs at the source at streaming speeds, delivering an unprecedented 10-100 times the performance of traditional systems at a fraction of the cost. Analyses that took days now take just seconds. This means a dramatic increase in productivity across the enterprise and faster time to value for business initiatives. Netezza appliances are changing the way organizations leverage information, creating a powerful analytic foundation for a new generation of business analytics that improve strategic decision-making and drive results.
Netezza is the global leader in analytic appliances that dramatically simplify high-performance analytics for business users across the extended enterprise, delivering significant competitive and operational advantage in todays information-intensive marketplaces. The Netezza Performance Server (NPS) family of streaming analytic appliances brings appliance simplicity to a broad range of complex data warehouse and analytic challenges. Customers who have realized the benefits of Netezza appliances include Ahold, Amazon.com, CNET Networks, Debenhams, Department of Veterans Affairs, Epsilon, Neiman Marcus, Orange UK, Premier, Inc., Ross Stores, Ryder System, Inc., The Carphone Warehouse and Virgin Media. Based in Framingham, Mass., Netezza has offices in Washington, DC, the United Kingdom and Asia Pacific. For more information about Netezza, please visit www.netezza.com.
Articles
Integrated Data Analytics: A Financial Business Case
This article delves into the business challenges and processes in an executive decision plan and discusses data analytics.
Variable Architecture in Web Analytics
Variable architecture is the intersection of data storage and data delivery.
Not Your Fathers List Management: MDM Matures, Part 2
Part 2 continues the description of the more complex levels of the MDM taxonomy.
Improving the Customer Experience through Text Analytics
Companies are under unprecedented pressure to optimize the customer experience.
The Streaming Analytic Appliance
When data warehouse appliances were first unleashed on the scene back in 2002, industry observers viewed this new technology with a bit of skepticism, and rightly so.
Columns
The Song Remains the Same - Data Shadows Systems Continue to be Pervasive for Reporting and Analytics: BI and DW Trends, 8 for 08
BI may not be pervasive, but spreadsheets are.
The Uniqueness of Health Care Fraud
This article is about predictive analytics and fraud detection for health care payers.
OpenBI Forum: Experiments in BI
Experimentation in business is proposed as next generation BI.
Project Analytics
Projects represent a wealth of data but don't overlook project analytics.
Super Crunchers - Lessons for BI Learned and Confirmed
Ask the Experts
What is the difference between a recommendation engine and predictive analytics?
Is there a relatively easy way to determine the sample size required to be statistically valid for a marketing test?
White Papers
Automated Analysis Technology
Leveraging Intelligent Resources
By SOCRATIQ Intelligence Systems
Transforming Excel into a Powerful Tool
By J.A. Tosti
Automated Analysis Technology
EDM: A Systematic Approach to Smarter Decisions
Books
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Decision Support Systems in the Twenty-First Century: DSS and Data Mining Technologies for Tomorrow's ManagerBy George M. Marakas |
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Developing Analytical Database ApplicationsBy Francis McGuff, John Kador |
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Clinical Decision Support Systems in Theory and PracticeBy Eta S. Berner, M. J. Ball |






