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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)
76 - 100 of 308 Matches Previous Page  |  Next Page
Information Strategy in Financial Services
sponsored by Information Builders
WHITE PAPER: Access this white paper to explore how these five vital actions can help financial service organizations develop and effective and broad-reaching information strategy. Learn which technologies that enables each one, including data governance.
Posted: 08 Apr 2015 | Published: 30 Apr 2012

Information Builders

Implementing a Data Integration Strategy For Legacy Modernization
sponsored by Information Builders
WHITE PAPER: This white paper explains why federal agencies need to prioritize legacy modernization and the creation of a fully unified data quality and integration infrastructure in order to gain a unified view of business data.
Posted: 25 Mar 2015 | Published: 25 Mar 2015

Information Builders

Breaking Big: When Big Data Goes Bad
sponsored by Information Builders
WHITE PAPER: Learn about the differences between conventional data and big data, as well as how those differences put big data environments at a great risk of data quality problems.
Posted: 30 Sep 2014 | Published: 30 Sep 2014

Information Builders

IDG MarketPulse Research Paper: Lighting Up Dark Data CIO Research Paper
sponsored by Commvault
WHITE PAPER: Access this informative white paper to learn about the risks of dark data and how to avoid it.
Posted: 09 Sep 2014 | Published: 20 Aug 2014

Commvault

Omnichannel Considerations for the Purchase Order Process
sponsored by OpenText GXS
WHITE PAPER: Find out how adopting an omnichannel experience can improve the purchase order process, and benefit both the customers and the business.
Posted: 16 Jun 2014 | Published: 30 Sep 2012

OpenText GXS

Data Quality Management
sponsored by OpenText GXS
WHITE PAPER: Find out how data quality can lead to a well-oiled supply chain and successful transportation and logistics projects.
Posted: 16 Jun 2014 | Published: 31 Jul 2013

OpenText GXS

Protecting Mission-Critical Manufacturing Data with an ERP Firewall
sponsored by OpenText GXS
WHITE PAPER: Find how an ERP Firewall can capture business process and data quality errors, so outsourcing data doesn't create mayhem within your company.
Posted: 02 Jun 2014 | Published: 31 Jul 2013

OpenText GXS

Grow Forward With Faster, Simpler, and Flexible ERP
sponsored by Sage Software
WHITE PAPER: Discover how one ERP system can help you reduce operating costs and boost sales.
Posted: 02 Jun 2014 | Published: 02 Jun 2014

Sage Software

The Future of Data Management
sponsored by IBM
WHITE PAPER: This brief white paper welcomes you to the future of data management – pre-integrated server, storage, network and database software and tools selected and tuned specifically for the demands of high-availability, high-throughput transactional processing.
Posted: 06 May 2014 | Published: 31 Jan 2014

IBM

Sales Intelligence: 28% More Reps Achieving Annual Quota
sponsored by Salesforce Data.com
WHITE PAPER: This survey-based research examines how sales organizations leverage customer data to improve sales effectiveness.
Posted: 18 Apr 2014 | Published: 31 Aug 2013

Salesforce Data.com

MDM and Data Quality for the Data Warehouse
sponsored by Informatica
WHITE PAPER: This executive brief explains how the combination of master data management (MDM) and data quality (DQ) can significantly enhance the accuracy and reliability of data, enabling timely, confident decisions and accurate reporting.
Posted: 26 Mar 2014 | Published: 31 Dec 2013

Informatica

Choosing the Right Master Data Management Solution for Your Organization
sponsored by Informatica
WHITE PAPER: Learn about the 10 essential MDM requirements, which will allow you to address both your current and future business needs, and quickly reap the returns from your MDM initiative.
Posted: 26 Mar 2014 | Published: 31 Dec 2013

Informatica

Informatica Data Integration Hub
sponsored by Informatica
WHITE PAPER: Even the best managed large-scale enterprise data integration environments grow complex over time, and are continuously pressured to operate leaner and more efficiently. In this white paper, learn about an innovative publish-and-subscribe model that can be applied to data integration, delivering automation without compromising control.
Posted: 26 Mar 2014 | Published: 31 Dec 2013

Informatica

Who's afraid of the big (data) bad wolf? Survive the big data storm by getting ahead of integration and governance functional requirements
sponsored by IBM
WHITE PAPER: This resource explores why traditional methods of discovering, governing, and correcting information fall short for big data, and provides an outline to help you achieve big data integration and governance success.
Posted: 27 Feb 2014 | Published: 31 Oct 2013

IBM

One Click Away: Where Does the Data Come From?
sponsored by LANSA
WHITE PAPER: Thirty-five percent of consumers say they would never use a mobile app again if it contained incorrect product data. This brief resource explores how the global standards body GS1 established the Global Data Synchronization Network (GDSN) as a means of combatting outdated, inconsistent product information.
Posted: 20 Feb 2014 | Published: 20 Feb 2014

LANSA

Right Data, Right Place, Real-time: How Master Data Management Supercharges Fast-Moving Businesses
sponsored by Dell Boomi
WHITE PAPER: Is inconsistent and inaccurate data costing you money? Learn about the value and benefits that cloud-based MDM can deliver. Find out why MDM matters to every organization, how next-gen MDM systems meet the needs of fast-moving enterprises and how to successfully adopt MDM. Plus, get compelling business cases for MDM.
Posted: 14 Feb 2014 | Published: 31 Dec 2013

Dell Boomi

White Paper: SuperCluster M6-32: Taking Oracle Engineered Systems to the Next Level
sponsored by Oracle Corporation
WHITE PAPER: This guide explores the Oracle SuperCluster M6-32, which offers extremely large memory capacities and improves performance levels for your business.
Posted: 07 Feb 2014 | Published: 31 Dec 2013

Oracle Corporation

Database Wars 2.0: Bringing Control To Chaos
sponsored by Progress
WHITE PAPER: Organizations could use some help establishing and maintaining control over their valuable information and, ultimately, business success. Access this white paper today to better understand how you can gain data control amidst the incessant chaos.
Posted: 30 Jan 2014 | Published: 30 Jan 2014

Progress

IBM Cognos Framework Manager - Ensure consistent business intelligence data across the enterprise
sponsored by IBM
WHITE PAPER: This resource examines the value of metadata in business intelligence, and introduces a metadata modeling tool for managing access to all existing data sources and ensuring data trustworthiness.
Posted: 15 Jan 2014 | Published: 31 Oct 2010

IBM

Data vs. Instinct: Perfecting global sales performance
sponsored by Oracle Corporation
WHITE PAPER: Access this paper today to take a look at how sales executives optimize their sales structures, territories, and incentive plans. Also inside, find survey results that reveal findings from senior decision-makers that investigated the sales executive realm.
Posted: 03 Jan 2014 | Published: 03 Jan 2014

Oracle Corporation

Data Quality Process Needs All Hands on Deck
sponsored by Harte-Hanks Trillium Software
WHITE PAPER: Access the following expert e-guide to uncover the best practices and procedures for developing and implementing a successful data quality strategy.
Posted: 30 Dec 2013 | Published: 26 Dec 2013

Harte-Hanks Trillium Software

The fundamentals of data lifecycle management in the era of big data
sponsored by IBM
WHITE PAPER: The volume, variety, and velocity of big data make it difficult to ensure the information is trusted and protected -- traditional, manual methods of governance just aren't up to the task. In this resource, explore the challenges of managing big data and get best practices for data lifecycle management at the enterprise level.
Posted: 26 Dec 2013 | Published: 31 Aug 2013

IBM

Understanding Big Data So You Can Act with Confidence
sponsored by IBM
WHITE PAPER: Ensuring your data is secure and trustworthy is paramount to harnessing the power of big data, but it's also a difficult task when you've got such a large volume and variety of information coming into the business. Unfortunately, traditional methods of governing and correcting often aren't applicable to big data -- so what can you do?
Posted: 24 Dec 2013 | Published: 31 Jul 2013

IBM

Big Data Integration and Governance Considerations for Healthcare
sponsored by IBM
WHITE PAPER: Healthcare organizations have not been immune to the impact of big data – but what do these growing data volumes mean for information governance? This resource explores big data integration and governance from the standpoint of three case studies.
Posted: 19 Dec 2013 | Published: 19 Dec 2013

IBM

Integrating and governing big data
sponsored by IBM
WHITE PAPER: This resource examines the roles that information integration and governance play in today's big data world, and offers key recommendations to help you realize the full value of your information and improve business outcomes.
Posted: 17 Dec 2013 | Published: 31 Jan 2013

IBM
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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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