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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)
51 - 75 of 258 Matches Previous Page  | Next Page
The Real Cost of Bad Data: Six Simple Steps To Address Data Quality Issues
sponsored by Information Builders
WHITE PAPER: Inadequate data governance can cost millions. From regulatory fines for systems and control failures, to any other number of factors, the cost quickly adds up. View this resource to learn more about how your organization can effectively manage data quality.
Posted: 02 Jul 2013 | Published: 02 Jul 2013

Information Builders

New Opportunities for Business Intelligence: Eight Ways to Generate Revenue and Drive Growth Now
sponsored by Information Builders
WHITE PAPER: This white paper presents how to support new growth strategies and drive new revenue using eight important technologies. Our approach is practical, with success stories that demonstrate how trailblazers have already proven the value of these innovations.
Posted: 02 May 2013 | Published: 31 Dec 2012

Information Builders

New Opportunities for Business Intelligence: Five Ways to Enhance Governance and Compliance for Greater Control Now
sponsored by Information Builders
WHITE PAPER: This white paper describes five innovative technology-driven solutions that can help companies to overcome the challenges in implementing and enforcing formal GRC policies and procedures.
Posted: 02 May 2013 | Published: 31 Dec 2012

Information Builders

Building a Business Case for Data Governance: Ten Critical Steps
sponsored by Information Builders
WHITE PAPER: This resource counts down 10 key steps that will help you build the business case for data governance in your organization. Also inside, learn about tools and tactics that will ensure your data governance project is a success.
Posted: 01 May 2013 | Published: 31 Dec 2012

Information Builders

The Role of Data Integration and Quality Management in NIEM
sponsored by Information Builders
WHITE PAPER: Check out this paper today to investigate how the National Information Exchange Model (NIEM) has grown. Learn about the challenges it was designed to overcome and of the important role that enterprise integration and data quality management technologies play in the execution of NIEM initiatives.
Posted: 01 May 2013 | Published: 01 May 2013

Information Builders

Developing an Information Strategy in the Financial Services Industry
sponsored by Information Builders
WHITE PAPER: In this resource, financial services organizations will learn how they can use five key actions to develop a successful information strategy in order to improve processes, boost productivity, enhance decision-making, and more.
Posted: 01 May 2013 | Published: 31 Dec 2012

Information Builders

Four Key Pillars To A Big Data Management Solution
sponsored by Talend
WHITE PAPER: This resource explores an open source approach and flexible big data integration platform that addresses these challenges and enables users to easily connect and analyze data from disparate systems to help drive and improve business performance.
Posted: 25 Feb 2013 | Published: 25 Feb 2013

Talend

Busting 7 Myths about Data Quality Management
sponsored by Information Builders
WHITE PAPER: In recent years, more organizations have fixated on improving the quality of their data – but one of the major obstacles holding them back are the myths about what makes up an effective strategy. Review this paper to learn the top 7 myths and tips on how to craft an effective data quality management strategy.
Posted: 16 Aug 2012 | Published: 01 Nov 2011

Information Builders

Seven Steps to Effective Data Governance
sponsored by Information Builders
WHITE PAPER: Effective data governance can provide the peace of mind that your data will stand up to privacy policies, regulatory compliance, and financial reporting. Yet most organizations become overwhelmed by the undertaking and halt implementation. Read this paper to learn 7 practical steps to crafting a productive data governance plan today.
Posted: 16 Aug 2012 | Published: 01 Aug 2012

Information Builders

Optimizing Data Quality in the Enterprise
sponsored by Information Builders
WHITE PAPER: It is estimated that 75% of large organisations currently face serious business challenges due to low quality data – and the consequences can be devastating. Access this paper to learn simple strategies that can substantially improve your company's data quality. Learn how to manage the lifecycle of quality data, and more.
Posted: 03 Aug 2012 | Published: 01 Aug 2012

Information Builders

Implementing Real-Time Data Quality Management
sponsored by Information Builders
WHITE PAPER: Poor data quality can be harmful to your enterprise in more ways than one -- 53% of companies with poor data quality face serious problems when implementing new systems and applications and 29% experience income loss. Access this paper to discover how real-time data quality management can help mitigate these risks and give you peace of mind.
Posted: 02 Aug 2012 | Published: 01 Aug 2012

Information Builders

Data Quality Management: The Key to Successful Predictive Analytics
sponsored by Information Builders
WHITE PAPER: As more and more companies begin to leverage predictive analytics to improve their business intelligence strategies, it's becoming evident that effective predictive models begin with data quality management. Read on to learn more about the impact data quality has on predictive analytics and how to easily improve your data quality.
Posted: 02 Aug 2012 | Published: 01 Aug 2012

Information Builders

Apache Hadoop Patterns of Use
sponsored by Hortonworks
WHITE PAPER: When it comes to Hadoop, the technology most often associated with big data, why is it so popular? Does it actually live up to the vendor hype? Check out this informative resource to get the real guidance you need to figure out where Hadoop fits into your organization, and how you can leverage it to extract the most from your big data.
Posted: 17 Jul 2013 | Published: 30 Apr 2013

Hortonworks

Kick-Starting Your Data Quality Program
sponsored by SearchDataManagement
WHITE PAPER: This handbook offers tips and strategies for balancing manual and automated data quality processes, building a business case for purchasing data quality tools and creating an effective data quality program.
Posted: 15 Jul 2013 | Published: 15 Jul 2013

SearchDataManagement

Big Data without the Big Bang or Bucks
sponsored by IBM
WHITE PAPER: In this resource, get tips on how to begin a big data project, from determining project requirements to choosing an analytics platform to upgrading systems. You'll discover best practices for extracting the most value from your data without high costs or complexities, and evaluate the pros and cons of selecting a "big data in a box" technology.
Posted: 15 Jul 2013 | Published: 31 Dec 2012

IBM

Enterprise Data Governance: The Human Element
sponsored by SAS
WHITE PAPER: This white paper explores the human element of enterprise data governance, as nearly every organizational task involving employees affects data quality. Read more to learn, through a simulated case study, how to combat people-related, data integration, organizational and cultural issues.
Posted: 02 Jul 2013 | Published: 15 Apr 2013

SAS

Big Data Analytics
sponsored by Kognitio
WHITE PAPER: Big data analytics can help you understand the current state of your business, track customer behavior, and take advantage of new opportunities. This comprehensive TDWI best practices report gives you in-depth insights into all the important aspects of big data analytics, so that you have a solid foundation for implementing an analytics plan.
Posted: 07 Jun 2013 | Published: 31 Dec 2011

Kognitio

Gabriel on Big Data Without the Big Bang with Linux on IBM Power Systems
sponsored by IBM.
WHITE PAPER: In this resource, explore how to get started with a big data analytics program, and discover best practices for extracting the most value from your data without incredibly high costs or complexities.
Posted: 21 May 2013 | Published: 31 Dec 2012

IBM.

Mongo DB Operations Best Practices
sponsored by MongoDB, Inc.
WHITE PAPER: Access this informative white paper to learn the ins and outs of Mongo DB, an open-source document-based database, and discover best practices for setup, configuration, scaling, data backup, and more.
Posted: 16 Apr 2013 | Published: 28 Feb 2013

MongoDB, Inc.

Denodo Platform 5.0
sponsored by Denodo Technologies
WHITE PAPER: Today's information landscape includes a variety of data sources and unlike forms of data inundating your business every second. Turn to this resource to learn about how data virtualization can make disparate data sources appear as if they are in one place, so that you can easily access your information and make better, faster business decisions.
Posted: 12 Apr 2013 | Published: 31 Mar 2013

Denodo Technologies

Leveling the playing field: How companies use data for competitive advantage
sponsored by SAP America, Inc.
WHITE PAPER: Data is a critical asset to the competitiveness of your organization, yet only 27% of people in a recent study said their companies do a better job using information than their competitors. Read this study by the Economist Intelligence Unit to find best practices about developing data initiatives to gain a competitive advantage.
Posted: 13 Sep 2012 | Published: 13 Sep 2012

SAP America, Inc.

Deliver Trusted Data and Deeper Insights
sponsored by SAP America, Inc.
WHITE PAPER: The health of your business depends on your data management strategy. Read this paper to learn about one platform designed to manage your increasing volumes of data and applications, as well as quickly provide critical analytics. Benefits include integration of structured and unstructured data, reduced cost, scalability and more.
Posted: 13 Sep 2012 | Published: 13 Sep 2012

SAP America, Inc.

IBM and Oracle TCO: The Lumpy Mattress
sponsored by IBM
WHITE PAPER: This paper outlines Oracle's approach to overpricing one part of a database solution to compensate for another part, leading to a much higher total cost of ownership (TCO). Read this now to learn more about the evolution of TCO, Oracle's pricing strategy, IBM's pricing strategy and so much more.
Posted: 10 Aug 2012 | Published: 21 Sep 2011

IBM

Outperforming in a data-rich, hyper-connected world
sponsored by IBM
WHITE PAPER: This paper outlines the results of a survey conducted amongst more than 1,100 executives across nine industries in 64 countries on their ability to capture data, share insights and take actions based on what they learn. Read this now to discover how other companies are harnessing and handling their data and learn how you can follow a similar path.
Posted: 09 Aug 2012 | Published: 08 Aug 2012

IBM

The Social Business: Advent of a new age
sponsored by IBM
WHITE PAPER: This paper outlines the why organizations need to become social businesses today. Read on to learn how your business can become social through crafting the right blueprint relying on networks, social and real-time collaboration, mobility and integration, how to deepen your customer relationships and the benefits associated with it, and much more.
Posted: 30 Jul 2012 | Published: 16 Feb 2011

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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