Realtime Data Analytics White Papers

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Real-time Personalization: 6 fundamental tips for marketers
sponsored by IBM
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.
Posted: 14 Feb 2014 | Published: 31 Dec 2013

IBM

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

Data Integration for the Real Time Enterprise
sponsored by Informatica
WHITE PAPER: To succeed amidst global uncertainty requires business agility. In this white paper, learn about the many benefits of enabling a real-time enterprise, and better understand how, via data integration, you can maintain a competitive advantage by helping deliver timely and accurate data to your customers.
Posted: 26 Mar 2014 | Published: 31 Dec 2013

Informatica

The Big Data Security Analytics Era is Here
sponsored by EMC Corporation
WHITE PAPER: Big data security analytics is no longer a visionary idea -- leading enterprises recognize that their immediate security requirements demand this type of solution.
Posted: 11 Apr 2014 | Published: 31 Jan 2014

EMC Corporation

The Right Time for Real-time Marketing
sponsored by IBM
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.
Posted: 03 Mar 2014 | Published: 03 Mar 2014

IBM

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

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

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

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

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.