WEBCAST:
Tune in to this Webinar to find out how to improve key data areas through data quality profiling and provide decision makers with trustworthy information. You’ll learn how to apply analytics to your reliable, high-quality data and come away with insights that optimize your organization’s decision-making capabilities.
WEBCAST:
Businesses today are facing a very different kind of competition that is rooted in extensive data analysis and demonstrated in decision making that is fast, comprehensive, and based on factual information. In this environment, Sybase IQ shines as a highly optimized analytic server.
WEBCAST:
This webcast, featuring Sr. Analyst, James Kobielus, Forrester Research, addresses what you need to do in order to establish an agile data services infrastructure that leverages your investments in data virtualization, discovery, transformation, quality, governance, publishing, caching, data warehousing and other key infrastructures.
TRIAL SOFTWARE:
IBM InfoSphere Data Architect is a collaborative data design solution to help you discover, model, relate, and standardize diverse and distributed data assets. It supports dimensional modeling. This page contains more information about the product and access to a 30-day trial.
WEBCAST:
This webcast takes an in-depth look at IBM Power Systems as an advanced virtualization platform for streamlined cloud deployment. Learn more about the RAS features scalability and performance capabilities.
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:
Please join Bill Jacobs, Director of Technical Marketing, Sybase IQ, in this webcast about the first of seven topic areas – as he discusses the new features added to Sybase IQ 15 that enhance the flexibility of Sybase IQ 15 for analytics, reporting and business intelligence applications.
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.
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:
Check out this informative resource to learn what you should consider when choosing architecture for your big data project. Discover the seven top architectural qualities of big data production platforms, and one delivery platform that automates big data workflow for more efficient, effective processing.
