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Data Quality

Data Quality refers to the quality of data. Data are of high quality "if they are fit for their intended uses in operations, decision making and planning" (J.M. Juran). Alternatively, the data are deemed of high quality if they correctly represent the real-world construct to which they refer. These two views can often be in disagreement, even about the same set of data used for the same purpose.
Results 201 - 225 of 296Sort Results By: Published Date | Title | Company Name
White Paper Published By: SAP     Published Date: Mar 24, 2011
The list of initiatives that are data-enabled-indeed, data-intensive-vary from company to company, from industry to industry. But the common denominator is an increasing awareness that these and other programs can't succeed without clean, meaningful, and available information. In this white paper, Baseline Consulting's Jill Dyché discusses how the data conversation is changing from philosophical questioning to hard-core tactics, from "What do we need?" to "Where do we start?" It covers the most common reasons for data governance failure, as well as the components of data governance that will inform the right strategy and give companies a means of determining where and how to begin their data governance journeys.
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data governance, data governance failure, data governance initiative, governance, business intelligence
    
SAP
White Paper Published By: SAP     Published Date: Mar 24, 2011
As you prepare to embark on an ERP implementation or to upgrade an existing system, you have a lot to juggle and plan. You know the horror stories of "go-lives" going bad but you aren't sure how to avoid the pitfalls. This white paper discusses at length how Utopia's formal data migration methodology reduces the risks of large systems deployments by using a tried-and-tested framework for the entire migration process, from source data analysis through post-go-live support.
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data migration management, source data analysis, data integrity, erp implementation, business intelligence
    
SAP
White Paper Published By: DataFlux     Published Date: Jan 07, 2011
This white paper, the first in a sequence, addresses the question, "who, specifically, are those right groups and right people?" on several different levels. It also highlights underlying principles that, properly applied, lead to solid answers to the "who" questions for a wide variety of scenarios.
Tags : 
dataflux, data agenda, data quality, governance, analytics
    
DataFlux
White Paper Published By: DataFlux     Published Date: Jan 07, 2011
This white paper describes a general approach for planning your organization's efforts to improve data quality, providing a data-example-driven perspective of some of the unique challenges of product data quality, as well as discuss and demonstrate three critical steps to improving product data quality.
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dataflux, product data quality, standardization, matching, data quality
    
DataFlux
White Paper Published By: DataFlux     Published Date: Jan 07, 2011
This white paper introduces and examines a breakthrough platform solution designed to drive parallel-process data integration - without intensive pre-configuration - and support full-lifecycle data management from discovery to retirement.
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dataflux, enterprise data, data integration, configuration, lifecycle data management
    
DataFlux
White Paper Published By: Experian QAS     Published Date: Dec 13, 2010
While the overall economic perspective is looking brighter than it was a few months ago, retail banks are still looking to cut bottom line costs and reduce expenses wherever possible.
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banking/accounting/financial, contact data quality and retail banks, data quality, data warehousing
    
Experian QAS
White Paper Published By: Mimecast     Published Date: Oct 25, 2010
Download this datasheet to learn more about a cost-effective software-as-a-service solution that seamlessly integrates with your existing email system.
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mimecast, data leaks, mimecast unified email management, uem, software-as-a-service
    
Mimecast
White Paper Published By: IBM     Published Date: Aug 30, 2010
Proactive Data Management Controls Data Growth. To take control, organizations must begin with the conscious decision not to let data growth proceed unexamined.
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ibm, data growth, data management, data integration, data mining
    
IBM
White Paper Published By: IBM     Published Date: Aug 30, 2010
Vendors in this market have been challenged in their attempts to gain market visibility and awareness for their products and for the benefits they can provide compared with just throwing more hardware at the problem.
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ibm, database application, vendor, data archiving, erp
    
IBM
White Paper Published By: IBM     Published Date: Aug 30, 2010
Adopting an Integrated Data Management strategy can be a highly effective way to help IT support business growth, facilitate data governance and manage costs.
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ibm, back-up, data quality, database management, knowledge and data management
    
IBM
White Paper Published By: IBM     Published Date: Aug 30, 2010
In this white paper we will discuss data breakage and access in more detail, and then briefly consider how IBM Optim works, particularly with respect to System z, though Optim's capabilities are also generally applicable to distributed systems.
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ibm optim, data growth, system z, data breakage, archiving
    
IBM
White Paper Published By: Vertica     Published Date: Aug 15, 2010
If you are responsible for BI (Business Intelligence) in your organization, there are three questions you should ask yourself: - Are there applications in my organization for combining operational processes with analytical insight that we can't deploy because of performance and capacity constraints with our existing BI environment?
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business intelligence, vertica, aggregated data, olap, rolap
    
Vertica
White Paper Published By: Siemon Company     Published Date: May 12, 2010
Siemon, a global leader in network cabling solutions and data center physical layer infrastructure, offers this new 66-page E-Book focused on guiding data center professionals and service providers through key infrastructure challenges.
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siemon, ieee, cooling, data center, cabling
    
Siemon Company
White Paper Published By: Unitrends     Published Date: Apr 12, 2010
The purpose of deduplication is to provide more storage, particularly backup storage, for less money, right? Then wouldn't it be ridiculous if deduplication vendors were demanding that their customers pay more per terabyte of storage? Or if they were simply pushing the task of integrating, monitoring, and managing deduplication back onto their users?
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unitrends, backup, data protection, data quality, server
    
Unitrends
White Paper Published By: Unitrends     Published Date: Mar 30, 2010
Clouds are all the rage right now. And the truth is that cloud-based computing can be a tremendous value. Cloud-based computing is not just an opportunity for a bunch of venture capitalists hanging out at Sand Hill Road, it's a wonderful chance for small and medium businesses to take a step toward aligning their information technology spend to increase their focus on revenue-generating opportunities.
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unitrends, backup, data protection, data quality, server
    
Unitrends
White Paper Published By: Vertica     Published Date: Mar 15, 2010
Revenue assurance analysts at a top-tier US-based carrier studied this every day. Primarily focused on detecting fraud, revenue sharing contract violations and incomplete revenue collections, they had the need to query and analyze call detail record (CDR) databases that grow by millions of new CDRs every day.
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vertica, ec2, cdr, elastic, saas
    
Vertica
White Paper Published By: NetApp     Published Date: Feb 22, 2010
This paper outlines the considerations for architecting an efficient SAN data storage infrastructure with a focus on the NetApp solutions for increased utilization, improved performance and streamlined protection to reduce operational costs.
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netapp, san environment, data storage infrastructure, utilization, multiprotocol unified storage
    
NetApp
White Paper Published By: Vertica     Published Date: Feb 20, 2010
For over a decade, IT organizations have been plagued by high data warehousing costs, with millions of dollars spent annually on specialized, high-end hardware and DBA personnel overhead for performance tuning. The root cause: using data warehouse database management (DBMS) software, like Oracle and SQLServer that were designed 20-30 years ago to handle write-intensive OLTP workloads, not query-intensive analytic workloads.
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vertica, ec2, cdr, elastic, saas
    
Vertica
White Paper Published By: Vertica     Published Date: Feb 01, 2010
How the Vertica Analytic Database is powering the new wave of commercial software, SaaS and appliance-based applications and creating new value and competitive differentiation for solution developers and their customers.
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vertica, ec2, cdr, elastic, saas
    
Vertica
White Paper Published By: IBM     Published Date: Nov 17, 2009
his executive level brochure provides the strategy behind Information on Demand (IOD), the 5 entry points to IOD and includes a summary of the 2008, information market analyst Ovum's independent evaluation of IBM's Information On Demand initiative which declared IBM to be at the "vanguard of the unified information management revolution."
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information on demand, soa, enterprise data management, enterprise content management, ibm
    
IBM
White Paper Published By: Zycus     Published Date: Sep 30, 2009
In today's highly-competitive markets, more and more procurement and sourcing professionals are looking to streamline processes and drive superior performance. In the quest for higher savings, more spend under management and increased compliance, sourcing executives must turn to their own repository of spend data to effectively identify opportunities for savings and gain a deeper understanding of their corporate spend.
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zycus, spend analysis, spend data, sourcing companies, sourcing services
    
Zycus
Webinar Published By: IBM     Published Date: Aug 25, 2009
Reduce the long, after hours finger pointing through proactive performance monitoring all while facilitating collaboration and driving organizational efficiencies.
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data management tools, ibm, dba, manage database, application changes
    
IBM
White Paper Published By: IBM     Published Date: Aug 25, 2009
Facing tough IT decisions? Get insight from midsize businesses like yours.
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opinion research corporation, midmarket, ibm, midsize companies, it infrastructure
    
IBM
White Paper Published By: SAP Inc.     Published Date: Jul 28, 2009
Data quality is an elusive subject that can defy measurement and yet be critical enough to derail any single IT project, strategic initiative, or even a company as a whole.
Tags : 
roi, data quality, sap, return-on-investment, crm
    
SAP Inc.
White Paper Published By: SAP Inc.     Published Date: Jul 28, 2009
In this paper, Frank Dravis, Six Factors Consulting, discusses how even with the finest marketing organizations, the success of marketing ultimately comes down to the data.
Tags : 
single platform, data integration, data quality, quality management, soa
    
SAP Inc.
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