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Data Categorization

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Data Categorization White Papers (View All Report Types)
 
Populating a Data Quality Scorecard with Relevant Metrics
sponsored by SAS Institute Inc.
WHITE PAPER: In this white paper, discover the major considerations that should go into developing metrics for a data quality scorecard. See how ideas about data metrics might vary across internal departments, and may be reoriented according to concerns about business process, impact, and pure data considerations.
Posted: 13 Mar 2013 | Published: 13 Mar 2013

SAS Institute Inc.

Reduce Costs with Streamlined Information Management
sponsored by Iron Mountain
WHITE PAPER: This white paper reveals how forward-thinking organizations are bringing their growing collection of paper and electronic records under control and realizing considerable cost savings at the same time. Read now to learn more.
Posted: 02 Sep 2012 | Published: 31 Dec 2010

Iron Mountain

Elevating Your Procurement Organization from Knee Jerk Reactions to Predictive Analytics
sponsored by SAP America, Inc.
WHITE PAPER: Benchmark findings prove that a 5% reduction in spending can drive upwards of a 45% increase in net income, and migrating to automated spend analytics can capture a 30% higher rate of cost savings and a 27% higher rate of spend under manageĀ­ment. This study will walk through a four-step process to help you start reaping these rewards.
Posted: 23 Apr 2012 | Published: 31 Dec 2011

SAP America, Inc.

SAS High-Performance Analytics Server
sponsored by SAS Institute Inc.
WHITE PAPER: This white paper explores how a modern high-performance analytics server can produce faster, more accurate insights and solve the most complex problems using huge volumes of structured and unstructured data. Read now to learn more.
Posted: 14 Mar 2013 | Published: 28 Dec 2012

SAS Institute Inc.

IBM Defensible Disposal Solutions
sponsored by IBM
WHITE PAPER: With so much data to keep track of, it is inevitable that organizations will end up storing unnecessary data. In this resource, discover a defensible data disposal system that helps CIOs position their organizations to automatically and continually dispose of information that has no legal, regulatory or business value.
Posted: 25 Apr 2013 | Published: 25 Apr 2013

IBM

Veritas NetBackup™ 6.5: Designing and Implementing Backups Using Storage Lifecycle Policies
sponsored by Symantec Corporation
WHITE PAPER: This paper looks at how these features relate to recovery service levels and how they can be deployed to help ensure that backup storage is used cost-effectively while still maintaining appropriate levels of recoverability.
Posted: 07 Feb 2008 | Published: 01 Nov 2007

Symantec Corporation

PC Data Protection Suite
sponsored by Iron Mountain
WHITE PAPER: The time is now to carefully look at your companies' data security risk. Iron Mountain's PC Data Protection Suite offers comprehensive enterprise-control over the PC data protection and recovery process with complete endpoint security.
Posted: 21 Feb 2007 | Published: 21 Feb 2007

Iron Mountain

Five Myths of Infrastructure Monitoring: How End-User Monitoring Can Help You Improve Customer Satisfaction
sponsored by Hewlett-Packard Company
WHITE PAPER: This paper discusses some of the common myths about infrastructure monitoring, and addresses how to ensure your infrastructure monitoring is responsive enough to satisfy and retain your customers.
Posted: 26 Jun 2009 | Published: 01 May 2008

Hewlett-Packard Company

How to Simplify Information Management through Advanced Storage Consolidation
sponsored by Datalink and Hitachi Data Systems
WHITE PAPER: The white paper provides key insights to helping organizations achieve better storage cost-containment, more flexible storage architectures, streamlined storage management, and an overall better storage quality of service to meet current and future needs.
Posted: 30 Jul 2007 | Published: 01 Jul 2007

Datalink and Hitachi Data Systems

Data Protection: Evaluating Business Requirements & Classifying Your Data
sponsored by BakBone
WHITE PAPER: This paper discusses an approach to evaluating data at a business level, and implementing a data protection strategy that safeguards your organization based on the value of its data.
Posted: 10 Jan 2011 | Published: 10 Jan 2011

BakBone
 
 
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