EBOOK:
SAP in-memory computing is putting the "r" back in "real-time" computing by bringing together online transaction processing (OLTP) applications and online analytical processing (OLAP) applications at a lower total cost. Get an in-depth look at how this technology will impact business.
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.
EGUIDE:
This expert e-guide describes the value that security information and management systems (SIMs) can bring to both application monitoring and real-time security. See how you can get the most out of SIM by reading on now.
EGUIDE:
This E-Guide from our own editorial team discusses the best practices on different methods of implementing real-time BI capabilities to increase descision making.
WHITE PAPER:
Consult the following white paper to uncover how to deliver more relevant offers, increase response rates, and ultimately create a happier customer base with the use of real-time marketing.
WHITE PAPER:
Use insight produced through analytics to improve performance and gain a strategic advantage. Learn how you can employ an enterprise-wide approach for maintaining data and using analytics for improved decision making.
WHITE PAPER:
This paper explores the opportunities and challenges presented by the introduction of services on 4G networks, and examines how a strategic BI implementation can help to transform the services a company provides while managing costs of providing them. It also considers the variety of practical applications of a BI system.
WEBCAST:
Predictive analysis can allow your company to make better business decisions, faster. Attend this Webcast to learn how you can gain a competitive edge with real-time Oracle Siebel CRM On Demand Analytics.
WHITE PAPER:
This paper examines the increased business challenges in structured finance, the impact on the underlying enabling technologies, and describes how the use of Vertica’s column store, massively parallel processing (MPP) approach to database management and analytic processing can address some of these challenges.
