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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 QualityWhite Papers (View All Report Types)
1 - 25 of 257 Matches Previous Page  | Next Page
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

10 Things to Know Before Modernizing Your Applications
sponsored by Informatica
WHITE PAPER: With the right choice of technology and best practices, application transformation can deliver immense strategic value. In this new white paper, "10 Things You Need to Know Before Modernizing Your Applications" , you'll learn best practices to plan and implement effective application migration projects in your organization.
Posted: 14 Jul 2014 | Published: 31 Mar 2014

Informatica

The New Data Dynamics: How to Turn Data into Competitive Advantage
sponsored by Informatica
WHITE PAPER: Data has gone wild. It used to sit still, do its homework, and never speak out of turn. Today's data is out with a motley bunch of friends, and it's growing all over the place like a super-fertilized weed. "The New Data Dynamics" is a guide to the new mindset that will help you thrive on the opportunities data brings.
Posted: 11 Jul 2014 | Published: 30 Jun 2014

Informatica

Data Disruption is Here
sponsored by Informatica
WHITE PAPER: Data Disruption is a reality, and it's a tidal wave to be reckoned with. You can let it plough you under or you can face it, master it, and walk away smiling. We suggest the latter. Download "Data Disruption is Here" and read how.
Posted: 11 Jul 2014 | Published: 31 May 2014

Informatica

Data Integration 101 - Top Trends, Ideas and Best Practices in a Maturing Data Management Practice
sponsored by SAS
WHITE PAPER: The following white paper explores the current business need for data integration and includes the top 10 trends, ideas, and best practices for data integration. Read on to learn more.
Posted: 09 Jul 2014 | Published: 09 Jul 2014

SAS

Data Drives Profit: But IT Exec-Staff Disconnect Threatens the Bottom Line
sponsored by Informatica
WHITE PAPER: Designed to inform IT execs and professionals, "Research: Data Drives Profit" provides insights and solutions that'll help you, your team, and your internal partners define and implement an effective data strategy.
Posted: 08 Jul 2014 | Published: 08 Jul 2014

Informatica

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

How Investments in ERP Impacts Key Business Outcomes
sponsored by Sage Software
WHITE PAPER: Discover a complete list of key findings from a recent ERP survey conducted to better understand the associations between the overall effectiveness of the ERP infrastructure and business profitability.
Posted: 30 May 2014 | Published: 28 Feb 2014

Sage Software

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

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

Populating a Data Quality Scorecard with Relevant Metrics
sponsored by SAS
WHITE PAPER: The following white paper explores ways to quality data control and measures to support your overall data quality and governance program. Learn what it takes to provide a framework for defining measurement processes and more.
Posted: 01 May 2014 | Published: 01 May 2014

SAS

Observing Data Quality Service Level Agreements: Inspection, Monitoring and Tracking
sponsored by SAS
WHITE PAPER: The following white paper discusses how by implementing a data quality service level agreement (DQ SLA) you can improve data quality proactivity, be able to continuously monitor and control the quality of organization data, and more.
Posted: 01 May 2014 | Published: 01 May 2014

SAS

How sales intelligence drives business goals
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

Guide to growth: Identify business growth drivers and develop a plan
sponsored by Salesforce Data.com
WHITE PAPER: Growing your business depends largely on knowing your customers -- and that requires having the right data, people, and processes in place. To begin the path to sustainable business growth, check out this extensive guide for businesses of all sizes -- from startup to enterprise.
Posted: 17 Apr 2014 | Published: 17 Apr 2014

Salesforce Data.com

Why CIOs Need to Take Control of Customer Data
sponsored by Informatica
WHITE PAPER: This executive brief examines the business implications of unintegrated customer data and outlines how CIOs and other senior IT managers are ideally positioned to take control of customer data with data management technologies.
Posted: 27 Mar 2014 | Published: 31 May 2013

Informatica

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

Future-Proof Your Data Environment
sponsored by IBM
WHITE PAPER: In this era of big data, business and IT leaders across all industries are looking for ways to easily and cost-effectively unlock the value of enterprise data. In this white paper, learn about a solution that can help you improve outcomes across all areas of your business while simultaneously optimizing resource utilization and reducing costs.
Posted: 25 Mar 2014 | Published: 25 Mar 2014

IBM

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

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

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

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
1 - 25 of 257 Matches Previous Page    1 2 3 4    Next Page
 
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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