WEBCAST:
This webcast details what to expect with a security breach, and how to detect and prevent them by analyzing big data to gather more INTEL on your business' IT system.
WEBCAST:
If you have to copy and paste data from multiple sources in order to complete data analysis, you're wasting time and energy. Tune in to this on-demand webinar to learn how you can seamlessly access and analyze data across the enterprise with tools from a Microsoft-SAP partnership.
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:
Watch this fascinating webcast to learn about Cognos Disclosure Management – a single, dynamic reporting solution that ensures secure integration with enterprise data sources, data consistency, standardized processes, quick responses, and greater opportunities.
WEBCAST:
View this brief webcast to see what one financial industry leader sees as a solution fit for the security future of his organization, and how strategies involving big data and education can keep customers' money and data safe from cybercrime.
WEBCAST:
This valuable webcast takes an inside look at an information management strategy that can help you improve business results in the age of big data.
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.
WEBCAST:
Learn how the IBM PureData System provides a smarter approach. Organizations can deploy complete, ready-to-run systems optimized for analytics and transactional data workloads in hours without the complexity of custom-built systems; and tackle big data faster, simpler and at a lower cost.
