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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 Reports
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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


Deliver Better Applications using Database Development Best Practices
sponsored by Dell Software
WHITE PAPER: The following white paper examines the challenges of delivering high-quality applications and explores how by implementing a collaborative, best practices methodology for database development, you can solve those challenges and much more.
Posted: 27 Aug 2014 | Published: 27 Aug 2014

Dell Software

MDM: The key to optimised, profitable management of your data?
sponsored by Hewlett-Packard Enterprise
EGUIDE: In the era of big data, your data quality can literally make or break your entire big data analytics initiative. So when it comes down to it, how can you ensure the highest quality of data without running up expenses? Consult the following expert e-guide to learn how MDM can offer a solution to not only handle data, but profit off of it.
Posted: 25 Aug 2014 | Published: 25 Aug 2014

Hewlett-Packard Enterprise

Data Drives Profit, But IT Exec-Staff Disconnect Threatens the Bottom Line
sponsored by Informatica
WHITE PAPER: Access this resource to learn how important the role of data is in the financial health of an organization, and see 4 critical ways IT executives and staff can align to get the most out of their data.
Posted: 08 Jul 2014 | Published: 08 Jul 2014


Defensible preservation and collection
sponsored by
VIRTUAL ENVIRONMENT: In this web seminar, learn to identify the risks posed by deficient data collection, how to use forensic principles for targeted collections and the relationship between preservation scale and costs.
Posted: 20 Jun 2014 | Premiered: 24 Jun 2014

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

Information governance Frameworks: The evolving models and the tried and true
sponsored by
VIRTUAL ENVIRONMENT: Modern organizations generate more data than ever, forcing them to reexamine governance strategy. This sounds daunting, but does not require reinventing the wheel: In this interactive classroom, learn to adapt proven information governance techniques to the digital age.
Posted: 14 May 2014 | Premiered: 15 May 2014

Data Governance for the Enterprise
sponsored by SearchBusinessAnalytics
EBOOK: Data governance is all about managing data as a business asset and ensuring that data is accurate, consistent, integrated, timely, complete and secure. This report examines the market trends for implementing data governance.
Posted: 24 Mar 2014 | Published: 24 Mar 2014


Data Quality Buyer's Guide
sponsored by TechTarget
RESOURCE: If you're trying to decide between SAP, SAS, IBM, Oracle or Informatica solutions, or just looking to get more details about the many options of data quality vendors, our exclusive Data Quality Buyer's guide can help. This exclusive guide reveals what real users (your peers) think about eight specific data quality solutions.
Posted: 18 Mar 2014 | Published: 18 Mar 2014


Ensure your big data initiatives are on the right path
sponsored by TechTarget
RESOURCE: Access our latest expert guide The Path to Payoff on Big Data Analytics to help you get the big data ball rolling. This three-part guide provides real-life examples of successful big data analytics efforts and project management advice.
Posted: 21 Feb 2014 | Published: 19 Mar 2014


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

Business Information ANZ May 2014
sponsored by SearchDataManagement
EZINE: This ezine looks at how businesses in the ANZ are attempting to harness Big Data.
Posted: 28 May 2014 | Published: 29 Apr 2014


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


Sales Intelligence: 28% More Reps Achieving Annual Quota
sponsored by Salesforce
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


The Software-Defined Business: Support Big Data Analytics and IT Change
sponsored by IBM
EBOOK: The following ebook explores the most frequently asked questions about SDEs. Find out what they are, why they matter, and what they can do for your enterprise. Read on to learn more.
Posted: 16 Apr 2014 | Published: 16 Apr 2014


How Calvin Klein got fashionable with SAP
sponsored by Every Angle
CASE STUDY: Calvin Klein, one of the world's leading fashion brands, had to transfer all of their transactional and master data from a non-SAP system to the SAP platform, without losing any information or compromising data and process quality. To do this, Calvin Klein leveraged an out-of-the-box SAP add-on for data migration.
Posted: 04 Apr 2014 | Published: 04 Apr 2014

Every Angle

Business Information E-Zine: NoSQL Makes its Mark
sponsored by SearchBusinessAnalytics
EZINE: In this issue, we drill down on the facts of NoSQL databases, tapping into the experiences of savvy startups and other companies whose needs led them to NoSQL technologies. But is NoSQL right for you? Companies with fast-growing vaults of Web, social media, demographic and machine data should pay attention. IT experts chime in with timely advice.
Posted: 04 Apr 2014 | Published: 04 Apr 2014


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


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 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


ITIC 2013 – 2014 Database Reliability and Deployment Trends Survey
sponsored by IBM
ANALYST REPORT: High reliability and system availability are absolutely crucial for database and the underlying server hardware. See where your company fits in among market leaders that have analyzed their database environments in the ITIC 2013-2014 Database Reliability and Deployment Trends Survey.
Posted: 25 Mar 2014 | Published: 25 Mar 2014


Case Study: Leading VoIP Customer Goes Global With NuoDB
sponsored by NuoDB Inc
CASE STUDY: Access this brief case study to learn how the right distributed database enabled communications company Fathom Voice to reduce latency, provide data consistency, and update in real-time across global offices.
Posted: 04 Mar 2014 | Published: 01 Oct 2013

NuoDB Inc
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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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