EGUIDE:
Across industries, companies are using predictive analytics to forecast future trends and actions. Learn about the most popular use cases for predictive analytics.
WHITE PAPER:
Access this white paper today to learn all you need to know about real-time personalization, how to overcome its challenges, and how you can increase the value of every one of your customer interactions.
PRESENTATION TRANSCRIPT:
Read this presentation transcript to discover SAP's groundbreaking in-memory computing technology, SAP HANA, and learn how to leverage its analytical power to improve your BI strategy.
WHITE PAPER:
Learn how alternative methods for replicating changes from an Oracle database to a Hadoop cluster can help you maintain real-time or a near real-time copies of the tables your organization needs to meet its data analytics requirements in this brief from Dell.
WEBCAST:
Access this demo to see how you can draw quick insights from social media data using software-defined storage. Learn to analyze this data in near-real time and dynamically manage the data to keep storage costs low.
WHITE PAPER:
Read this paper to learn how combining a high performance batch programming and execution model with a high performance analytical database provides significant business benefits for a number of different types of applications.
PRESENTATION TRANSCRIPT:
BI users need a positive and unified experience with their information applications to help them make critical, data-driven business decisions. In this webcast transcript, Shaku Atre, founder and managing partner of the Atre Group, discusses strategies to encourage BI user engagement with customizable dashboards and analytics.
WHITE PAPER:
With the volume of data today, traditional disk-based systems can not process quickly enough to make it fully useful. In this white paper, gain insight into the next generation of in-memory computing technology.
ANALYST REPORT:
Mobile business intelligence is a process, not a project, and a journey rather than a destination. The case studies included represent two forms that mobile BI can take to empower the mobile worker and port existing applications. This paper discusses two different companies, their environments, reasons for going mobile and key success factors.
