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Apache Hadoop: the Swiss Army Knife of IT by Global Knowledge
April 02, 2013 - (Free Research)
In this white paper, discover why Apache Hadoop is being credited with holding the key to the future of big data analytics. From its open-source cost-efficiency to its additive processes, this white paper details the versatility and power of Hadoop.
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What Are Your Obligations to Retain Email and Other Electronic Content? by Proofpoint, Inc.
October 29, 2010 - (Free Research)
This paper discusses what drives organizations in both heavily-regulated and less regulated industries to retain email and other electronic content. It explores the content retention challenges faced by those organizations in the midst of stringent litigation and regulatory compliance demands.
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IT matters again by ComputerWeekly.com
December 01, 2011 - (Free Research)
This report from Deloitte argues businesses are again investing in IT to provide the differentiation and innovation critical from their competitors despite the downturn.
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The Growing Importance of E-Discovery on Your Business by Google Apps
November 2008 - (Free Research)
The goal of this white paper is to focus on the key issues involved in developing an e-discovery capability and to help organizations plan to become better prepared for the rigors of the e-discovery process.
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IBM Analytic Answers for Prioritized Collections by IBM
February 2013 - (Free Research)
This resource introduces a portfolio of cloud-based analytics tools that can help deliver key business insights – allowing you to optimize collections, drive down company debt, and more – without the need for major business changes.
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IBM Smarter Planet Storage Solutions Insight Series by IBM
February 2011 - (Free Research)
This paper describes how pervasive data-generating technologies are now available and examines the growing need to mine emerging applications for competitive advantage.
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Text Analytics in the BI Ecosystem by Sybase, an SAP company
October 2010 - (Free Research)
An estimated 80% of enterprise-relevant information resides in text and unstructured forms. Text analytics transforms text into data for BI, data mining, and predictive analytics. This paper reviews business benefits and technical challenges related to taming text. It also introduces text technologies and surveys noteworthy business applications.
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Best Practices for Managing Unstructured Data by HP & Intel®
December 2012 - (Free Research)
This E-Guide explores several best practices and approaches for managing and integrating these new types of data. In addition, learn about the differences between using enterprise search versus text analysis for processing unstructured data.
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The Critical Role of Text Analytics in the BI Ecosystem by Sybase, an SAP company
June 2010 - (Free Research)
Though a great amount of valuable information lies within documents, e-mails, and other media, integrating this data into modern analytics applications is challenging. Join Sybase and Kapow on Tuesday, June 15th at 1:00 PM ET to learn how enterprises are motivated to deploy text analytics capabilities for its wide range of intelligence benefits.
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Niksun NetDetector Data Sheet by NIKSUN
NetDetector seamlessly integrates with other NIKSUN products, 3rd-party applications and network devices to provide a rock-solid security solution.
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Mail Attender, Archive Attender, Discovery Attender & PST Backup Attender by Sherpa Software
May 2011 - (Free Research)
Although Microsoft introduced a number of features designed to accommodate the Exchange 2010 larger inbox size, your business may require a more sophisticated approach to retention policies, content management or searching. This white paper reveals software that supplements Microsoft Exchange 2010 Deployment and expands administrative control.
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Information Retention and eDiscovery Survey by Symantec Corporation
October 2011 - (Free Research)
This white paper offers greater detail on 3 key findings, plus 5 recommendations about implementing a successful information retention and eDiscovery program.
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Gartner: Reducing storage costs by ComputerWeekly.com
March 2012 - (Free Research)
Gartner research director, Valdis Filks, offers tips to help businesses get to grips with escalating storage costs.
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Top 10 Data Mining Mistakes by SAS Institute Inc.
April 2010 - (Free Research)
In the following paper, we briefly describe, and illustrate from examples, what we believe are the “Top 10” mistakes of data mining, in terms of frequency and seriousness. Most are basic, though a few are subtle. All have, when undetected, left analysts worse off than if they’d never looked at their data.
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Integrated data mining - the core to customer analytics success by Infor
February 2013 - (Free Research)
For most companies, data mining for customer analytics fails to live up to its potential, due to the complexity and cost of traditional tools. Inside, discover the challenges that traditional data mining systems pose and gain insight on how you can overcome them to enable customer analytics success.
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Hard Hat Area: Myths and Pitfalls of Data Mining by SPSS Inc. Worldwide Headquarters
February 2009 - (Free Research)
The intrepid data miner runs many risks, including being buried under mountains of data or disappearing along with the "mysterious disappearing terabyte." Myths and misconceptions create their own risks and need to be debunked. This article outlines some risks, debunks some myths, and provides some protective "hard hats" for data miners.
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Oracle Data Mining 11g Release 2 Competing on In-Database Analytics by Oracle Corporation
June 2012 - (Free Research)
This paper offers an overview of Oracle Data Mining, detailing how you can build predictive models to better target customers, develop detailed customer profiles and detect and prevent fraud. Read on and learn how this data mining tool eliminates data extraction and movement, delivers the lowest TCO compared to traditional vendors and more.
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Oracle Data Mining 11g Release 2 Mining Star Schemas: A Telco Churn Case Study by Oracle Corporation
June 2012 - (Free Research)
This paper, based on the CACS and intended for users of the Oracle Data Miner, highlights the telco churn case study using Oracle Data Miner and explains the case study workflow methodology. Read this now and learn about preparing a database scheme and importing a pre-made Oracle Data Miner workflow.
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