EGUIDE:
In this new Computer Weekly series of e-guides, learn more about essential IT concepts, their definitions, applications and benefits. To start, we get together everything you need to know about real-time analytics, its uses and its benefits.
CASE STUDY:
Download this TechTarget case study to learn how TIBCO achieved true marketing transformation through the use of TechTarget marketing technology.
EGUIDE:
Across industries, companies are using predictive analytics to forecast future trends and actions. Learn about the most popular use cases for predictive analytics.
EGUIDE:
Organisations increasingly value data that is as current as possible. And there are other sectors where real-time data analytics and data visualisation are proving valuable. In this e-guide, we discuss how continuous real-time analytics, operating at sub-second speed, are finding real-world applicability across several industry sectors.
CASE STUDY:
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.
CASE STUDY:
In this case study Calit2 and Cyberinfrastructure for Advanced Marine Microbial Ecology Research and Analysis (CAMERA) develop a cost-effective, high-performance environment where researchers have unlimited access to the existing genomics data.
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WHITE PAPER:
With dashboards and scorecards, organizations benefit from the convergence of performance management and business intelligence. Learn how dashboards and scorecards help executives to better communicate, monitor and adjust business strategy and plans.
WEBCAST:
Predictive analysis can allow your company to make better business decisions, faster. Attend this Webcast to learn how you can gain a competitive edge with real-time Oracle Siebel CRM On Demand Analytics.
WHITE PAPER:
Use insight produced through analytics to improve performance and gain a strategic advantage. Learn how you can employ an enterprise-wide approach for maintaining data and using analytics for improved decision making.