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:
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)
WEBCAST:
From choosing the right visualization to using space and colors wisely, this resource is your one-stop shop to learning your dashboard essentials.
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)
SOFTWARE DEMO:
Learn how SAP solutions for information workers allow salespeople to manage sales accounts, manage sales opportunities, and collaborate with co-workers, all while taking advantage of familiar user environments.
WEBCAST:
This brief on-demand video introduces an analytics platform designed for today's big data 2.0 world that delivers the key capabilities you need in order to leverage all of your available data.
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.
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.
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.
