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:
Read this white paper to learn how business intelligence (BI) can combine your explicitly-defined business rules and automatically-identified statistical information to deliver the best possible content to your customers for every single interaction.
EGUIDE:
If your SAP HANA journey has left you in the dark, these five implementation tips from experts featured in this guide will light your way. Also discover key considerations for S/4HANA Sourcing and Procurement.
CASE STUDY:
NASDAQ, which became the world's first electronic stock market in 1971, and remains the largest U.S. electronic stock market, is constantly looking for more-efficient ways to serve its members.
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:
In this white paper, discover how SAP In-Memory Appliance (SAP HANA) delivers SAP In-Memory Computing technology through an ongoing engineering collaboration between SAP and Intel to provide optimized performance and reliability on Intel architecture, including the Intel Xeon processor E7 family.
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:
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.
