WEBCAST:
This Webinar explains how by combining the power of SAS® Business Analytics with Microsoft Office you will be able to easily access data from any operational system without IT intervention, automate spreadsheets and PowerPoint decks, and save time and money by reducing redundancy and improving productivity.
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:
This webcast takes a look at how organizations can consider analytics from two perspectives – the science of analytics and the art of how people apply this science in new and creative ways to make the world better.
PRODUCT DEMO:
Learn how the WebSphere ILOG JRules BRMS can automate decision making for data validation, eligibility and pricing in a real-world scenario. This demo shows how JRules BRMS allows organizations to gain a competitive advantage by adapting business systems to evolve with changing business policies and decisions.
WEBCAST:
Watch this webcast to learn how organizations in the financial services, communications, utilities, and retail industries are adopting business process management (BPM) software and using best practices to address their pertinent process challenges to deliver relevant business value.
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)
WEBCAST:
This webcast discusses the place of BlackBerry 10 in the move towards real-time enterprise collaboration and how they are working to definitively establish the right balance between personal workspace and the enterprise workspace on mobile desktops.
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.
