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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)
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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

The Real Costs of Bad Data
sponsored by Melissa Data Corp
WHITE PAPER: Learn more about data accuracy and the real cost of bad data in this concise white paper. Read on to learn effective strategies to combat the collection of unusable data.
Posted: 13 Mar 2015 | Published: 13 Mar 2015

Melissa Data Corp

Using Data Quality Tools and Techniques to Improve Business Value
sponsored by Melissa Data Corp
WHITE PAPER: How can you learn more about data cleansing techniques and the importance of quality data?Access this exhaustive white paper to get a full view of the complexities of data quality. Uncover the data quality tools and techniques that can improve your business' value.
Posted: 13 Mar 2015 | Published: 13 Mar 2015

Melissa Data Corp

Data protection for big data environments
sponsored by IBM
WHITE PAPER: Access this exclusive interview to learn how you can design real-time, business-driven data protection policies across your enterprise. Read on to gain more insight into big data analytics and security in six distinct sections.
Posted: 12 Mar 2015 | Published: 31 Mar 2014

IBM

Top Three Myths about Big Data Security
sponsored by IBM
WHITE PAPER: In this informative white paper get the top 3 myths about big data security that are preventing companies effectively securing their big data. Read on to learn how you can implement an effective big data security system to protect your valuable customer data.
Posted: 11 Mar 2015 | Published: 31 Oct 2012

IBM

Data Governance - an Essential Deliverable for Information Driven Companies
sponsored by Winshuttle, LLC
WHITE PAPER: Access this informative white paper to learn how you can reduce cycle times, improve transactional readiness, produce more trustworthy analytics, achieve greater business agility and generally better your operations with improve data governance and data stewardship.
Posted: 27 Feb 2015 | Published: 27 Feb 2015

Winshuttle, LLC

Mass Data Processing for - SAP Industry Solutions
sponsored by Automic
WHITE PAPER: Explore this informative white paper to learn how the Automic Business Automation platform can automate your mass data processing in SAP to combat challenges for effectively.
Posted: 25 Feb 2015 | Published: 25 Feb 2015

Automic

Analytic Platform Survival Guide: Easy Ways to Maximize your Analytic Performance
sponsored by IBM
WHITE PAPER: In this valuable buyer's guide, gain access to an exclusive study that compares the performance, functionality and features of many popular business analytics systems.
Posted: 09 Feb 2015 | Published: 31 Dec 2014

IBM

Five steps to successful application consolidation and retirement
sponsored by IBM
WHITE PAPER: Explore this white paper to gain valuable insight into processes that can streamline your application infrastructure and consolidate your data in five steps.
Posted: 26 Jan 2015 | Published: 30 Jun 2014

IBM

Data Virtualization Done Right
sponsored by Red Hat
WHITE PAPER: View this whitepaper to discover one solution that helps virtualize and centralize your information, and tunes systems to take advantage of a single view of multiple sources.
Posted: 21 Oct 2014 | Published: 21 Oct 2014

Red Hat

Data Access and Refinement: Making data useful and available to everyone
sponsored by IBM
WHITE PAPER: Today, data seems to be everywhere except where we need it, when we need it. With the rapid growth of data has come heightened demand for quality data—a task that leaves many businesses scratching their head on performing successfully. So how do you do it? Read this white paper to find out how IBM can help.
Posted: 07 Oct 2014 | Published: 07 Oct 2014

IBM

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

Harvard Business Review: The Big Data Opportunity for HR and Finance
sponsored by Workday
WHITE PAPER: This Harvard Business Review report explains why big data in HR will allow HR departments to move beyond simple headcount and be more predictive than reactionary. Inside, learn from several examples of finance adopters of big data that are winning favorable notice from the C-suite.
Posted: 09 Sep 2014 | Published: 09 Sep 2014

Workday

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

Seven Symptoms of Forecasting Illness
sponsored by IBM
WHITE PAPER: This white paper describes the most common forecasting problems and provides a prescription for bringing them back to health.
Posted: 17 Jul 2014 | Published: 30 Apr 2010

IBM

The 8 Worst Practices in Master Data Management and How to Avoid Them
sponsored by Information Builders
WHITE PAPER: Real-time decision making is essential to gain competitive advantage, and to make the best decisions, you need accurate, complete, and timely data -- you need master data management (MDM). View this white paper to discover the eight worst possible practices of MDM and how to avoid them
Posted: 15 May 2014 | Published: 15 May 2014

Information Builders

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
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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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