WEBCAST:
This live webcast will address the applicability of data quality and data integration techniques within product information management (PIM) initiatives. View this webcast to learn how to address these and other facets of PIM initiatives.
WEBCAST:
Learn how to make operational BI easy for your organization with real-time delivery of data, fast deployment and pervasive use and adoption by operational users.
Posted: 03 May 2007 | Premiered: May 22, 2007, 14:00 EDT (18:00 GMT)
sponsored by Voxware, Motorola, and PEAK Technologies
WEBCAST:
Attend this Webcast to learn how this powerful combination provides improved real-time data collection and increased flexibility to make downstream business process changes easily and inexpensively.
Posted: 16 Aug 2007 | Premiered: Aug 29, 2007, 14:00 EDT (18:00 GMT)
SOFTWARE DEMO:
This video describes the value or DB2 Warehouse, a strategic platform to that is the foundation for Information On Demand. View this video to see the complete presentation.
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.
WEBCAST:
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.
SOFTWARE DOWNLOAD:
The industry leading data modeling tool and an enterprise modeling and design solution, PowerDesigner, helps implement effective enterprise architecture and brings powerful models to create and manage your IT infrastructure.
WEBCAST:
View this Webcast to explore the industry's first relational, in-memory caching software platform that accelerates a broad range of databases up to ten times.
Posted: 03 Mar 2009 | Premiered: Mar 17, 2009, 12:00 EDT (16:00 GMT)
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.