WEBCAST:
In this brief video, learn how the leading wheel and tire distribution company American Tire Distributors was able to reduce costs, improve performance, and empower scalability and agility by virtualizing its Oracle E-Business Suite tools.
WEBCAST:
Attend this Webcast to learn how you can solve master data management (MDM) issues on a global basis, standardize business processes, and simplify your application landscape.
Posted: 19 Oct 2007 | Premiered: Oct 31, 2007, 12:00 EDT (16:00 GMT)
WEBCAST:
This video case study explores Del Monte Foods' cloud strategy – including why the food production company decided to move to the cloud and how it alleviated its cloud concerns.
WEBCAST:
Curious about IBM Information On Demand (IOD) Global Conference 2010 in Las Vegas? Explore the best of the conference, virtually. Learn how to deliver trusted information for greater insight and smarter decisions, and align information and related projects to business goals.
Posted: 22 Nov 2010 | Premiered: Dec 15, 2010, 13:00 EST (18:00 GMT)
PODCAST:
In this podcast, you'll hear from Matt Bedin, Director for BI Product Management for Oracle, about the many new features and enhancements in Oracle Business Intelligence Enterprise Edition 11g (OBIEE 11g) that will excite both end-users and IT managers.
VIDEO:
The dynamic case management approach is helping companies achieve significant, competitive results. In this webinar, learn how your company can also achieve better service outcomes with dynamic case management.
WEBCAST:
The biggest challenge to improving the efficiency of your business processes often lies in knowing how these processes really work in your organization. This webcast will teach you how to visualize and analyze your business processes from historical data, expose process waste and apply lean initiatives to achieve significant value.
WEBCAST:
Tune in to this Webinar to find out how data quality can improve business performance. You’ll learn how to improve key data areas by performing data quality profiling and data collection through closed-loop monitoring, and how to address data quality as a process to derive value and drive continuous improvement.
