WEBCAST:
This brief on-demand video introduces an analytics platform designed for today's big data 2.0 world that delivers the key capabilities you need in order to leverage all of your available data.
WEBCAST:
The following webcast outlines how to gain the most from your BI and goes over an all-inclusive and intuitive approach to get a firm grasp on the "big picture."
VIDEO:
The ability to start with any data, select a visualization, and begin understanding that data immediately with simple drag and drop actions for making dashboards can give your business a serious upper hand on competitors. Check out this short video to see a demonstration of data visualization analytics and try it now with a free download!
WEBCAST:
In this exclusive webcast, learn how you can use big data to create new business value, maintain relevance, and achieve greater operational efficiency.
SOFTWARE DEMO:
This video describes the value or DB2 Warehouse, a strategic platform to that is the foundation for Information On Demand. View this video to see the complete presentation.
WEBCAST:
Access this live webcast on January 30, 2014 at 12:00 PM EST (17:00 GMT) to learn how you can use big data tools and technologies to extend security intelligence – allowing you to protect massive data volumes and uncover hidden threats.
Posted: 15 Jan 2014 | Premiered: Jan 30, 2014, 12:00 EST (17:00 GMT)
WEBCAST:
This on-demand webcast examines how technical computing strategies can help you process, manage, and analyze growing data volumes and varieties. Tune in today to uncover the role of technical computing in IT and big data.
VIDEO:
In this brief video, discover how Banca Carige, a leading bank in Italy with over 700 branches, chose and implemented a large-scale data analytics platform in order to enable real-time analytics in all of its locations, improving business performance and individual client services.
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.