WEBCAST:
In this brief video, learn why traditional analytics processes are unfit for today's complex data, and discover how the right disclosure management platform can transform your finance operations, provide more strategic business insights, and allow for smarter decision-making.
WEBCAST:
Depending on the approach that your organization takes, big data can be either a golden opportunity or a significant business obstacle. This webcast explores information management in the new era of computing, and outlines a strategy that will enable you to reduce costs, improve decision-making, and more.
WEBCAST:
The following webcast demonstrates the power of mobile analytics and how you can assume a competitive place within the business realm. Discover a powerful new mobile collaboration platform that allows you to get the most out of data and interact with your intelligence in new ways.
WEBCAST:
Mainframes generate and process huge data volumes, but the costs and challenges of mainframe computing often leave this data untapped. This webcast explains how Hadoop can help you conquer the costs and challenges of big data and gain key business insights.
WEBCAST:
In order to meet big data challenges, organizations need integrated systems to handle transactional data workloads. Listen to this fascinating webcast today to learn how these systems accelerate time-to-value, offer higher integration capabilities with third party vendors, and much more.
PODCAST:
In this podcast, you'll hear from Lexy Martin, the director of Research and Analytics for CedarCrestone, and the author of a recent, in-depth Oracle white paper on HR Analytics, as she talks about current trends in HR and how firms are using analytics to gain insights on their HR operations and performance.
WEBCAST:
Join Principal Analyst, Leslie Ament, in this on-demand webcast to gain a firsthand look at how to successfully manage social data. Uncover use cases of successful social intelligence and analytics, how to collaborate across multiple channels, and more.
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.