WEBCAST:
The SAS® Enterprise Data Integration Server gives you the power to know how to quickly attain and manage consistent and trusted data throughout your organization. This webinar will show how this single data integration solution can consolidate vendors, respond quickly to new data integration requirements, and even reduce the overall cost...
WEBCAST:
Join Tom Tyler, Senior Consultant at Perforce Software as he shares practical tips to plan you migration, alleviate concerns, and prevent a wasteful, misdirected effort.
WEBCAST:
Learn how to make operational BI easy for your organization with real-time delivery of data, fast deployment and pervasive use and adoption by operational users.
Posted: 03 May 2007 | Premiered: May 22, 2007, 14:00 EDT (18:00 GMT)
WEBCAST:
Big data is not just about technology. It's about the value you can extract and the problems you can solve with the technology. This webcast explores five use cases that are excellent starting points for beginning the big data journey. Watch now to learn how to leverage big data technology and strategy for success.
VIDEO:
As the volume and variety of data increases, it becomes harder to ensure trustworthiness, and placing confidence in this information becomes risker. In order to effectively leverage analytics to glean actionable insights from big data, you need to be able to trust that information -- in other words, it must be properly integrated and governed.
WEBCAST:
Listen to this webcast case study to learn how AmBank was able to better monitor customer transactions and improve insights via data integration and analytics.
WEBCAST:
If you have to copy and paste data from multiple sources in order to complete data analysis, you're wasting time and energy. Tune in to this on-demand webinar to learn how you can seamlessly access and analyze data across the enterprise with tools from a Microsoft-SAP partnership.
WEBCAST:
SAS presents part 2 of their webinar series "Got Bad Data?. In this latest installment, we'll be discussing the Business analytics framework, data quality as a process, data collection, following data flows and uses, data quality and metrics, and continuous learning and improvement.
WEBCAST:
Learn how to easily gain profitable data mining results in less time and improve accuracy and usefulness of analytical models during this Webinar. You’ll find out how to deliver precise and confident results, manage and improve model performance, and derive and share insights to improve the quality and precision of your decisions.