WEBCAST:
Access this webcast to learn how using the latest intent data and AI-driven technologies can transform their productivity and yields from a market, an ICP, or a set of named ABM accounts.
WEBCAST:
This exclusive webcast focuses on helping companies understand how they can easily identify the impact that SAP support and enhancement packs will have on their existing transactions and the business processes that rely on them.
WEBCAST:
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.
WEBCAST:
This webcast shows insights into enabling businesses to face business challenges by combining business driven information systems and effective application portfolio management.
Posted: 03 Nov 2010 | Premiered: Nov 16, 2010, 11:00 EST (16:00 GMT)
WEBCAST:
This webcast takes a look at how organizations can consider analytics from two perspectives – the science of analytics and the art of how people apply this science in new and creative ways to make the world better.
WEBCAST:
As IT environments become more dynamic, your operations teams need a unified approach to management and monitoring. In this webcast, learn how automatic detection and automated monitoring setup and configuration are two methods for meeting IT challenges. Inside, discover how the "management cockpit" improves management, and much more.
WEBCAST:
This webcast, featuring Intel and Virtual Iron, explores the key drivers and enabling technologies behind server virtualization. Best practices for supporting virtualized workloads in production environments will also be discussed.
WEBCAST:
Tune in to this Webinar to find out how data quality influences the effectiveness of predictive analytics and forecasting. You’ll learn how to go beyond name and address matching to realize the potential of numerical data quality, how to overcome insufficient yet relevant data from your predictive and forecasting models, and more.
