NASDAQ, which became the world's first electronic stock market in 1971, and remains the largest U.S. electronic stock market, is constantly looking for more-efficient ways to serve its members.
Data warehousing and business intelligence (BI) have evolved. Learn about a cost-effective data warehouse system with advanced analytics that delivers high performance and flexibility to address changing business needs.
This white-paper provides an overview of Oracle Database 11g's capabilities for data warehousing, and discuses its key features and technologies. Discover how to integrate information, perform fast queries, scale to very large data volumes, and more.
This white paper highlights how organizations can leverage big data to solve business challenges. It focuses on query-able data warehouses as a way to reduce costs and gain business insights. Discover how you can free up your data warehouse from processes slowing it down and disrupting revenue goals.
The reasons driving standardization in BI and reporting are core to every company—cutting costs, boosting revenue, and increasing profits. IBM Cognos 8 BI lets business users move among capabilities in a guided way, get the answers they seek, and collaborate while giving IT complete control over the BI environment.
This transcript describes how data access supports System i operations. Discover the key features and functions of a business information tool that caters to 3 System i user needs.
Data warehouse appliances have transformed the DW with a platform designed to deliver optimal price and performance with extreme simplicity. This paper outlines the IBM Netezza data warehouse appliance and how it offers extreme time to value, agility and ability to grow with new workloads, cost reduction of ongoing maintenance and more.
In the following paper, we briefly describe, and illustrate from examples, what we believe are the “Top 10” mistakes of data mining, in terms of frequency and seriousness. Most are basic, though a few are subtle. All have, when undetected, left analysts worse off than if they’d never looked at their data.
This paper, intended for both IT and operational management, explores a series of high-level best practices for analytics and data warehousing based on Sybase’s experience with successful implementations. Suggestions are provided in three categories: performance, cost control, and ease-of-deployment with each dimension broken down into sub-topics.
Tune in to this Webinar to find out how to improve key data areas through data quality profiling and provide decision makers with trustworthy information. You’ll learn how to apply analytics to your reliable, high-quality data and come away with insights that optimize your organization’s decision-making capabilities.