Real Time Analytical Software White Papers

(View All Report Types)
Real Time Business Intelligence  - SAP In-Memory Appliance Software (SAP HANA™)
sponsored by Intel
WHITE PAPER: This paper introduces SAP In-Memory Computing technology concepts, explains how SAP HANA uses them to help deliver real-time business insight, and describes how synergies with Intel architecture-based server platforms drive solution value.
Posted: 28 Nov 2011 | Published: 28 Nov 2011

Intel

How dirty is your data fuel?
sponsored by TechTarget Business Analytics
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.
Posted: 19 Jun 2013 | Published: 19 Jun 2013

TechTarget Business Analytics

IBM: An Early Leader across the Big Data Security Analytics
sponsored by IBM
WHITE PAPER: Security data collection and analysis has become a big data dilemma – so why wouldn't you adopt a big data approach? This resource outlines why legacy analytics and SIEM tools are inefficient and explores how adopting a solution that combines real-time and asymmetric big data security analytics is vital to success.
Posted: 22 Jul 2013 | Published: 28 Jun 2013

IBM

Sybase CEP Implementation Methodology for Continuous Intelligence
sponsored by Sybase, an SAP company
WHITE PAPER: This paper discusses the Sybase CEP Implementation Methodology, which offers analytic developers a set of best practices for implementing Continuous Intelligence using Complex Event Processing. Sybase CEP provides a structured yet flexible approach to rapidly build Continuous Intelligence projects and deliver more analytic modules over time.
Posted: 28 Oct 2010 | Published: 28 Oct 2010

Sybase, an SAP company

Introducing The SAP High Performance Analytic Appliance (SAP HANA)
sponsored by IBM and SAP
WHITE PAPER: In today's highly-competitive business climate, immediate access to, and effective analysis of business data can mean the difference between success and failure for an organization. This white paper introduces in-memory computing technology that enables these capabilities.
Posted: 26 Oct 2011 | Published: 26 Oct 2011

IBM and SAP

Securities and capital markets
sponsored by IBM
WHITE PAPER: IBM®ILOG®’s business rule management system (BRMS) is widely used by leading investment banks, asset management and mutual fund firms to meet their compliance requirements while adding intelligent decisioning capabilities to applications and processes throughout the trading cycle, and business channels and systems.
Posted: 07 Jul 2011 | Published: 07 Jul 2011

IBM

Improving Traceability and Auditability Across the Development Lifecycle
sponsored by IBM
WHITE PAPER: This white paper explores how IBM® Rational® software integrated offerings can help gain the traceability you need to ensure overall product quality.
Posted: 19 Mar 2010 | Published: 17 Dec 2009

IBM

The Impact of Social Graphing Analysis on the Bottom Line: How Zynga Performs Graph Analysis with the Vertica Analytics Platform
sponsored by Vertica Systems
WHITE PAPER: It may be surprising to find that Zynga is performing some of the most advanced analytics anywhere. With a user base of over 250 million monthly active users, this white paper describes why Zynga uses the Vertica Analytics Platform to improve its business and game features.
Posted: 26 Aug 2011 | Published: 26 Aug 2011

Vertica Systems

Cisco Business Intelligence Appliance for SAP
sponsored by Cisco Systems, Inc.
WHITE PAPER: Read this paper to discover powerful, self-service business intelligence (BI) that helps you locate, evaluate, and use your crucial business information while minimizing the operational cost.
Posted: 22 Nov 2011 | Published: 22 Nov 2011

Cisco Systems, Inc.

Transform insights into action IBM’s: Watson and the future of data
sponsored by IBM
WHITE PAPER: Traditional computing systems are built to analyze only structured data, or to run analytics in batch reporting jobs. Explore how Watson is an example of the new kind of workloads that businesses will apply to achieve their business goals.
Posted: 09 Jun 2011 | Published: 06 Jun 2011

IBM