WEBCAST:
This on-demand webcast investigates performance management and analytics tools that can help drive success in finance and risk management. Watch now to discover product updates, best practices, and more.
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.
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.
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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.
WEBCAST:
View this on-demand webcast to learn the value of business intelligence and predictive analytics for more precise, accurate and timely decisions.
WEBCAST:
Learn how IBM is helping clients address these challenges with innovative data management software and systems designed for this era of big data.
WEBCAST:
View the following webcast to get a firsthand look at an all-inclusive BI platform that offers you and your organization access and visualization of business-critical insights from you data—on top of which that can build reports easily and efficiently.
WEBCAST:
Access the following webcast to uncover what you need to know to become a successful social business. Learn about the tools and techniques and how to properly use them to turn social data into the actionable insights you need to be competitive.
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.
