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Data Quality

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ALSO CALLED: Data Quality Control, Information Quality, Data Quality Assurance, Data Content Quality
DEFINITION: Data quality is the reliability and effectiveness of data, particularly in a data warehouse. Data quality assurance (DQA) is the process of verifying the reliability and effectiveness of data. Maintaining data quality requires going through the data periodically and scrubbing it. Typically this involves updating it, standardizing it, and de-duplicating records to create a single view of the data,  … 
Definition continues below.
Data Quality White Papers (View All Report Types)
26 - 40 of 40 Matches Previous Page  |  Next Page
SAP® Support of the Healthecare Supply Chain's Ongoing Effort to Ensure Patient Safety and Drive Business Value
sponsored by SAP AG
WHITE PAPER: The Center for Healthcare Supply Chain Research (formerly the HDMA Research & Education Foundation) recently published an important study concerning data management and data sharing in the healthcare supply chain. This whitepaper discusses the key conclusions of their study.
Posted: 05 Jun 2009 | Published: 05 Jun 2009


Reaping The Benefits of Next Generation Dashboards
sponsored by SAP America Inc
WHITE PAPER: The need for timely and succinct business intelligence (BI) continues to grow as executives demand critical information to seize opportunities faster than competitors and to address potential problems in the making. But increasingly, it is not just C-level executives and upper management who need access to business intelligence.
Posted: 04 Jun 2009 | Published: 04 Jun 2009


Developing A Universal Approach To Cleansing Customer And Product Data
sponsored by SAP AG
WHITE PAPER: Data quality has always been an important issue for companies, and this is even more the case today. This paper reviews current industry problems concerning data quality, and takes a detailed look at how companies are addressing quality problems with customer, product, and other types of corporate data.
Posted: 04 Jun 2009 | Published: 04 Jun 2009


Data Quality: A Survival Guide For Marketing
sponsored by SAP AG
WHITE PAPER: Direct marketing is about communicating a message to a specific prospect or customer. This white paper from Business Objects, an SAP company, focuses on these concepts as they pertain to marketing, and particularly as they are supported by data quality functions inside of the broader EIM framework.
Posted: 04 Jun 2009 | Published: 04 Jun 2009


SAP Data Migration Using Business Objects Information Management Software
sponsored by SAP AG
WHITE PAPER: This paper is about using information management software from Business Objects, an SAP company, for SAP data migration projects, either for upgrades from one version of SAP to a newer one, or from other environments to SAP.
Posted: 04 Jun 2009 | Published: 04 Jun 2009


Practical Open Source Data Integration Case Studies & Implementation Examples
sponsored by Talend
WHITE PAPER: This document presents a few selected case studies, illustrating real-life implementations of open source data integration and its associated benefits.
Posted: 11 Feb 2009 | Published: 11 Feb 2009


Integrating SAP Data in the Information System Using Open Source Data Integration
sponsored by Talend
WHITE PAPER: This Technical Note discusses Talend's data integration capabilities for SAP and covers Talend's SAP connectors, as well as additional SAP-dedicated tools.
Posted: 11 Feb 2009 | Published: 11 Feb 2009


Business Intelligence: Putting Information to Work
sponsored by SAP America Inc
WHITE PAPER: Business intelligence (BI) can be considered critical to the very existence of most organisations. The purpose of this research was to explore whether and how companies are using BI to improve their businesses; to identify the obstacles they encounter in its use; and predict how BI will evolve in the next ten years.
Posted: 26 Jan 2009 | Published: 26 Jan 2009


Observing Data Quality Service Level Agreements: Inspection, Monitoring, and Tracking
sponsored by DataFlux Corporation
WHITE PAPER: This paper discusses how implementing a DQ SLA via formalized processes can transform data quality management from a constant "fire-fighting" mode to a more consistent, proactive approach.
Posted: 05 Jan 2009 | Published: 05 Jan 2009


Enterprise Information Management: Strategy, Best Practices & Technologies on Your Path to Success
sponsored by SAP AG
WHITE PAPER: The goal of this paper is to paint the EIM landscape, noting its components but focusing on the importance of an overarching EIM strategy that focuses on corporate objectives while at the same time offering cross-functional support.
Posted: 19 Sep 2008 | Published: 19 Sep 2008


The Return on Investment of Open Source Data Integration
sponsored by Talend
WHITE PAPER: This white paper explains the different alternatives to open source data integration, and presents the visible and hidden costs of these alternatives, on several types of projects.
Posted: 24 Jul 2008 | Published: 24 Jul 2008


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


The ROI of Data Governance: A Revenue Generation Perspective
sponsored by DataFlux Corporation
WHITE PAPER: Read this whitepaper to learn more about data governance, and when it is appropriate to measure data efforts with ROI or other metrics. Learn about an ROI calculator of data governance and how to test assumptions about data.
Posted: 11 Jun 2008 | Published: 11 Jun 2008


Building a Data Quality Scorecard for Operational Data Governance
sponsored by DataFlux Corporation
WHITE PAPER: Operational data governance is the process of evaluating data to see if data effectively satisfies the organization's business needs. This is measured with a "data quality scorecard", a management tool for monitoring organizational performance.
Posted: 10 Jun 2008 | Published: 10 Jun 2008


Oracle Database 11g for Data Warehousing and Business Intelligence
sponsored by Oracle Corporation
WHITE PAPER: This white-paper provides an overview of Oracle Database 11g's capabilities for data warehousing, and discuses its key features and technologies. Discover how to integrate information, perform fast queries, scale to very large data volumes, and more.
Posted: 15 Oct 2007 | Published: 15 Oct 2007

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DATA QUALITY DEFINITION (continued): …  even even if it is stored in multiple disparate systems. There are many vendor applications on the market to make this job easier. Because data quality is so important from a business perspective, many large companies employ a data steward to be in charge of data quality. In spite of this, Gartner Inc. forecasted that 25% of critical data within Fortune 1000 companies would continue to be inaccurate through 2007. A Gartner study says that poor quality customer data costs U.S. business an estimated $611 billion dollars a year in postage, printing, and staff overhead.Getting started with data quality … 
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