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:
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.
TRIAL SOFTWARE:
Enable your customers to choose the right deployment model for their specific business and IT needs, with the flexibility to change deployment models over time if their needs or preferences change.
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 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:
In this webcast, discover how Smart Process apps - designed to support variable, people-intensive, frequently-changing applications - can optimize collaborative business processes in your organization and deliver more value from your existing operations apps.
WEBCAST:
Learn how companies can use social software in combination with Business Intelligence applications to improve decision-making in key business processes.Watch this webcast presented by Tagetik, Microsoft and featuring Gartner as new collaboration strategies and methodologies for budgeting and forecasting are introduced.
Posted: 11 Jun 2010 | Premiered: Jun 22, 2010, 11:00 EDT (15:00 GMT)
PRODUCT DEMO:
This product demo illustrates the processes and benefits inherent in a BI solution that provides a common, unified environment that combines OLAP and relational-style analysis for a faster and more in-depth decision process.
