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 webcast will cover how to work with business groups to gather requirements, identify needs and select the most valuable approach to a wireless application.
Posted: 01 Aug 2007 | Premiered: Aug 16, 2007, 13:00 EDT (17:00 GMT)
TRIAL SOFTWARE:
Serena Service Manager is an processed-based ITSM solution that keeps people and processes perfectly in sync. View now to try Pink Elephant's ITIL innovation of the year.
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.
VIDEO:
This brief, two minute video will teach you about a single-platform IT service management (ITSM) solution that provides flexible deployment options, reduces IT costs, improves service delivery, and more.
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.
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:
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:
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.
