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:
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.
WEBCAST:
The following webcast depicts how to create, update, and manage a successful business plan. Discover what techniques you can use to move your business forward.
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.
VIDEO:
This collection of videos provides critical insight into the process success of many leaders within their specific industries. Watch now to learn about the tools and strategies they used and how you can use these same strategies for success in your own organization.
WEBCAST:
In this webcast, you will see how a customer is increasing the speed and effectiveness of their packaged apps testing projects by using best practices and testing accelerators. Inside, learn about solutions that can enhance development and testing efforts for business-critical systems that organizations rely on.
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.
