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Real Time Analytics Software White Papers (View All Report Types)
 
Consuming Data Productively The five ways a data catalog drives productive self-service analytics
sponsored by Alation
WHITE PAPER: In this white paper, discover how a data catalog can help your organization better manage its data, improve data productivity, and drive self-service analytics. Additionally, explore 5 data catalog features sure to improve time-to-decision, and review how a data catalog can benefit your organization.
Posted: 27 Aug 2019 | Published: 27 Aug 2019

Alation

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

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

Agile Business Intelligence: Real-Time Intelligence for Smarter, Faster Decisions
sponsored by JackBe
WHITE PAPER: Read this comprehensive white paper now to learn more about real-time business intelligence (BI) and the benefits of implementing agile BI into your current BI strategy.
Posted: 06 Feb 2012 | Published: 03 Feb 2012

JackBe

How dirty is your data fuel?
sponsored by SearchBusinessAnalytics
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

SearchBusinessAnalytics

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

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

Early Leaders Across the Big Data Security Analytics Continuum
sponsored by IBM
WHITE PAPER: This informative white paper defines and discusses big data security analytics, including the continuum between real-time and asymmetric big data security analytics solutions.
Posted: 20 Mar 2014 | Published: 28 Jun 2013

IBM

Real-Time Intelligence Moves Business Forward
sponsored by Intel
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.
Posted: 28 Nov 2011 | Published: 28 Nov 2011

Intel

Business Intelligence - NoSQL, No Problem
sponsored by MongoDB, Inc.
WHITE PAPER: Big data is complex term to define and it often presents obstacles for businesses. Consult this resource to learn more about how you should look at big data from a business perspective. Find out how big data has changed the way that the business intelligence (BI) landscape operates.
Posted: 16 Apr 2013 | Published: 16 Apr 2013

MongoDB, Inc.
 

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