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:
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.
CASE STUDY:
Headquartered in Stockholm, Sweden, Scandinavian Airlines (SAS) is the largest airline in Scandinavia. SAS need to provide better business intelligence reporting and improved adhoc analysis capabilities by providing real time data access while reducing costs.
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.
EBOOK:
This e-book offers IT, business intelligence (BI) and analytics managers tips on building a business case for real-time analytics and also for avoiding potential pitfalls that can trip you up during the implementation stage.
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.
EGUIDE:
Complex event processing (CEP) and business activity monitoring (BAM) are popular tools for managing information that moves faster -- and in higher volumes -- than ever before.
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.
WHITE PAPER:
Ensuring that business intelligence data is accurate and consistent is crucial to the success of business intelligence (BI) projects. However, managing BI data quality is becoming more challenging as data varieties and sources increase. View this white paper to find out how you can get a handle on BI data quality.
