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Data Classification

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ALSO CALLED: Data Categorization
DEFINITION: The categorization of stored data for its most effective and efficient use. Data can be classified according to its critical value or how often it needs to be accessed, with the most critical or often-used data stored on the fastest media while other data can be stored on slower (and less expensive) media.
Data Classification White Papers (View All Report Types)
6 Matches
Solving the Challenges of Exponential Data Growth
sponsored by Syncsort
WHITE PAPER: This paper explores the reasons why data volumes are increasing and where bottlenecks most frequently occur. It then explains why adding more hardware isn’t a solution to these performance problems and delves into the various methods that can be used to break through the bottlenecks to speed applications.
Posted: 12 Oct 2009 | Published: 12 Oct 2009


How to write a RFP for Master Data Management: 10 Common Mistakes to Avoid
sponsored by Siperian, Inc.
WHITE PAPER: Critical master data management (MDM) functionality can be easily overlooked when request for proposals (RFPs) are narrowly focused on a single business data type. Ensure success by avoiding 10 costly mistakes when writing your RFP.
Posted: 16 Sep 2009 | Published: 16 Sep 2009


Critical Technologies for Compliance and Risk Management
sponsored by Siperian, Inc.
WHITE PAPER: Smart decision-makers are seeking technology investments -- such as Master Data Management -- to help establish good governance models that will help with regulatory compliance and lower their operational risk.
Posted: 16 Sep 2009 | Published: 16 Sep 2009


The Flawed Vision of Customer Data Integration – How to Get it Right the First Time
sponsored by Siperian, Inc.
WHITE PAPER: The initial goal of Customer Data Integration (CDI) was to create the most reliable customer data for the entire company. We now know that the golden opportunity for CDI lies within Master Data Management and the ability to uncover interactions and understand the relationships that companies have with their customers.
Posted: 16 Sep 2009 | Published: 16 Sep 2009


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: 26 Jun 2009


Populating a Data Quality Scorecard with Relevant Metrics
sponsored by DataFlux Corporation
WHITE PAPER: Too often, data governance teams rely on existing measurements as the metrics used to populate a data quality scorecard. But without a defined understanding of the relationship between specific measurement scores and the business's success criteria..
Posted: 26 Jun 2008 | Published: 26 Jun 2008

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