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:
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:
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:
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.
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.
WEBCAST:
Bill Jacobs, Director of Technical Marketing, Sybase IQ, discusses the speed and performance capabilities of Sybase IQ 15. These enhancements are designed to help make IQ 15 remain the smartest choice for analytic, reporting, business intelligence, data mining, and related applications.
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.
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:
Do you have an existing information quality strategy? While most organizations understand the need for data quality, they still face the challenge of implementing an effective strategy to provide information that aligns to business requirements. Register for this webcast and learn the 4 steps to a successful information quality strategy.
