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data quality
(3986 results)
White Papers, Webcasts, and Resources
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White Papers
Patterns in Data Quality - A Method for Organizing Enterprise Data Quality (Web) Services in Service Oriented Architectures
February 19, 2010 12:00am PST
Different industries have varying business processes to satisfy their customers. While the data universe often differs, patterns can be developed to improve the data quality. Improved data quality...
Provided by: Pitney Bowes
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White Papers
Measuring and Improving Data Quality Part II: Measuring Data Quality
April 1, 2005 12:00am PST
Data problems are common sources of frustration, and it often seems impossible to improve the quality of the data one work with. However, well researched and proven methods for measuring and...
Provided by: Clemson University
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White Papers
Resurrecting the Prodigal Son - Data Quality: "Rise From the Ashes: Battle of Data Quality Testing
November 13, 2008 12:00am PST
There is perhaps no other activity that is as much a bane of the existence in decision making as "Reconciling" data. Data quality testing is a sea with a few large fish (data integrity, data...
Provided by: Pure Conference Solution
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White Papers
Data Quality and Analysis: Managing and Using Home and Community-Based Services Data for Quality Improvement
April 1, 2006 12:00am PST
The increased use of data to inform policy and improve practice requires a renewed emphasis on assuring the underlying accuracy and reliability of data. High quality data are critical for decision...
Provided by: University of Southern Maine
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White Papers
Monitoring Data Quality Performance Using Data Quality Metrics With David Loshin
November 1, 2006 12:00am PST
Organizational data quality management is often introduced in reaction to acute problems traceable to how some data failure adversely affected the business. This reactive approach may be typified...
Provided by: Informatica
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White Papers
Monitoring Data Quality Performance Using Data Quality Metrics
November 1, 2006 12:00am PST
Organizational data quality management is often introduced in reaction to acute problems traceable to how some data failure adversely affected the business. This reactive approach may be typified...
Provided by: Informatica
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White Papers
Towards Data Quality and Data Mining Using Constraints in XML
March 1, 2009 12:00am PST
Quality data is necessary for different data mining techniques and reversely, data mining techniques can be utilized to measure quality of data. Data mining and data quality issues got much...
Provided by: University of South Australia
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White Papers
Service-Oriented Data Quality Engineering and Data Publishing in the Cloud
October 7, 2010 12:00am PDT
Traditional data quality engineering techniques, often used and deployed within a single enterprise environment, are inadequate to cope with the rapid change of data, with a multitude of quality...
Provided by: University of Milano - Bicocca
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Webcasts
Operational Data Quality - Data Governance
May 31, 2011 12:00am PDT
Poor data in your business applications often originates from data quality problems in upstream operational systems. That's why it's critical to establish a Data Governance initiative to set...
Provided by: Trillium Software
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White Papers
Data Quality & Data Integration
January 5, 2010 12:00am PST
Data Quality Management Incorporates a "Virtuous Cycle" in Which Continuous Analysis, Observation, and Improvement Lead to Overall Improvement in the Quality of Organizational Information Across...
Provided by: Pitney Bowes Software
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Case Studies
SAP BusinessObjects Data Services: One Product for Data Quality and Data Integration
December 1, 2008 12:00am PST
The challenge was maintaining data quality within data integration and migration projects and providing the agility and access to data necessary to meet business as well as government and legal...
Provided by: SAP
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Case Studies
SAP BusinessObjects Data Services: One Product for Data Quality and Data Integration
December 1, 2008 12:00am PST
The challenge was maintaining data quality within data integration and migration projects and providing the agility and access to data necessary to meet business as well as government and legal...
Provided by: SAP
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White Papers
Pervasive Data Quality Improving Business Processes With High Quality Data
October 1, 2009 12:00am PDT
The problems associated with poor data quality, which include lack of trust in the data, poorly supported decision making and significant costs, have been well known for some time. However, even...
Provided by: Informatica
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White Papers
A Data Quality Methodology for Heterogeneous Data
February 1, 2011 12:00am PST
The authors present a Heterogenous Data Quality Methodology (HDQM) for Data Quality (DQ) assessment and improvement that considers all types of data managed in an organization, namely structured...
Provided by: Universita degli Studi di Milano
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White Papers
Get Another Label? Improving Data Quality and Data Mining Using Multiple, Noisy Labelers
August 27, 2008 12:00am PDT
There are various costs associated with the preprocessing stage, including costs of acquiring features, formulating data, cleaning data, obtaining expert labeling of data etc. There persists...
Provided by: New York University
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White Papers
Data Quality Defined
February 8, 2009 12:00am PST
Data Quality can be defined as fitness of your data for its intended use. Data Quality can have a direct impact on intended functions and therefore, normalizing and staging your data outside of...
Provided by: Qbase
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White Papers
Comprehensive Data Quality With Oracle Data Integrator
December 1, 2007 12:00am PST
Poor-quality data afflicts almost every company of moderate size and operational complexity. In fact, inconsistent, inaccurate, incomplete, and out-of-date data are often the root cause of...
Provided by: Oracle
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White Papers
Informatica Data Quality and Data Integration
August 29, 2008 12:00am PDT
To support today's business processes and goals, all corporate data needs to be universally accessible, flexible, certifiably accurate, and reusable. Organizations need to know more about what is...
Provided by: Informatica
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Case Studies
Data Quality Challenge Case Study METRO Group and Nestlé
April 29, 2009 12:00am PDT
This case study is based on the GS1 Data Quality Challenge that was taken up by two organizations, METRP Group and Nestle in order to recognize key areas inside their association that could be...
Provided by: GS1
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White Papers
Data Quality by the Numbers: Best Practices for Managing Business Data
September 14, 2006 12:00am PDT
The use of data quality technology for customer data is far more prevalent than the use of the technology for business data. The reason for this imbalance has as much to do with the organizations...
Provided by: SAS Institute
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