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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.
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White Paper Published By: Trillium Software     Published Date: May 19, 2011
This report provides recommendations for improving the quality of operational data, which in turn contributes to an organization's drive toward operational excellence.
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trillium software, tdwi checklist report, philip russom, operational data quality, opdq
    
Trillium Software
White Paper Published By: SAP     Published Date: Apr 14, 2011
The recent wave of new business analytics tools, solutions, and capabilities marks a true revolution in BI. In this SAPinsider Special Report on Business Intelligence, SAP Executive Vice President Sanjay Poonen lends his insights on the market drivers for this BI revolution, and explains what it all means for SAP customers. The article also features SAP ecosystem partners highlighting how SAP customers can unleash the power of information to truly innovate their business.
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business intelligence, business analytic tools, sanjay poonen, information management, enterprise performance management
    
SAP
White Paper Published By: SAS     Published Date: Apr 13, 2011
Learn how organizations are using data mining to solve their problems, including a $1 billion decision that produced positive results.
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data mining, qualitative data, quantitative data, john f. elder, data quality
    
SAS
White Paper Published By: SAS     Published Date: Apr 13, 2011
This paper will outline the value and methods involved in data mining across both quantitative and qualitative data. In addition, it will describe the data transformations necessary before doing such work, and the tools that are particularly valuable for mining mixed data types.
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business intelligence, michael lock, predictive analytics, business insight, business visibility
    
SAS
White Paper Published By: SAS     Published Date: Apr 13, 2011
BI usage among organizations with mobile BI has doubled compared to those companies that have not mobilized their BI. Learn about these results, the emerging best practices for mobile BI usage and the framework by which you can assess your own management capabilities for enterprise mobile BI adoption.
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mobile bi, business intelligence, andrew borg, david white, aberdeen
    
SAS
White Paper Published By: SAP     Published Date: Mar 24, 2011
Nearly all companies realize that the way to gain a competitive advantage is to obtain better data, interpret them quickly, and distribute them in easier-to-use formats. However, there are many obstacles to the effective use of data and few companies surmount them all-a fact that results in a lot of unused corporate data. How are companies using information to beat their rivals and create a more level playing field? This report from the Economist Intelligence Unit examines how their practices are evolving and offers examples of data use at some highly successful companies.
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competitive advantage, corporate data, data use, data usage, business intelligence
    
SAP
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.
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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
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In this webinar Black Duck Software (www.blackducksoftware.com), together with representatives of SAP, will review the benefits open source offers to development organizations, the management challenges it presents, and approaches for addressing those challenges.

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