WEBCAST:
This valuable webcast explains how you can go from a data strategy focused on data collection to one that drives business innovation by transforming the ways that you think about and apply data governance and architecture.
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.
VIRTUAL ENVIRONMENT:
This on-demand webcast takes an inside look at big data and Hadoop adoption, and offers key recommendations to help you find Hadoop analytics success.
VIDEO:
This brief video introduces a big data discovery strategy that puts the power of big data in your hands – allowing you to affordably justify and prove your big data innovations before you put them to work.
WEBCAST:
In this on-demand webcast, learn about the importance of creating a trusted view of your big data assets and discover how the right tools can help you get there.
WEBCAST:
In this exclusive webcast, learn how you can use big data to create new business value, maintain relevance, and achieve greater operational efficiency.
VIDEO:
This video case study reveals how Revas, the outsourcing arm of accounting and consulting firm Baker Tilly, found BI success with a strategic reporting tool, enabling the company to enhance its client portal, reduce client take on costs, and more.
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:
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.
