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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
26 - 50 of 571 Matches Previous Page  |  Next Page
Introducing Notebooks: A Powerful Tool for Data Scientists
sponsored by IBM
WHITE PAPER: An environment in which data scientists can work collaboratively with multiple stakeholders, in rapid iterations, is key to meeting relentless business demands. Discover ways to help data teams lead the enterprise predictively and proactively.
Posted: 15 Aug 2016 | Published: 15 Aug 2016

IBM

An Analytical Approach to your Data Architecture
sponsored by Zaloni
WHITE PAPER: With so much data available, managed data lakes are becoming crucial to the modern data architecture. Learn how they can give your enterprise the agility and scalability needed for timely discovery and valuable business insights from big data.
Posted: 15 Aug 2016 | Published: 15 Aug 2016

Zaloni

Data Science is a Team Sport -- Do you Have the Skills to be a Team Player?
sponsored by IBM
WHITE PAPER: How do raw metrics and records become information that drives business results? Explore ways to equip data scientists, engineers, and more with the skills they need to make actionable, valuable insights.
Posted: 15 Aug 2016 | Published: 15 Aug 2016

IBM

Case Study: Enhancing Risk Mitigation with Automated, Flexible Analytics
sponsored by Infogix
CASE STUDY: Meta Payments Systems wanted to identify and mitigate information risks proactively within their processing environment by deploying automated analytics. Find out how they enhanced visibility, generated valuable operational insight, and resolved information risks with an advanced analytics platform.
Posted: 08 Aug 2016 | Published: 31 Dec 2015

Infogix

Case Study: Guaranteeing Data Integrity from Diverse Sources
sponsored by Infogix
CASE STUDY: After initiating the move towards an open systems environment, GuideOne found themselves looking for independent, continuous and automated data analysis in order to control complexity and seamlessly retrieve data from diverse sources and formats. Find out how they leveraged advanced analytics to implement flexible data analysis.
Posted: 08 Aug 2016 | Published: 31 Dec 2015

Infogix

MTS Allstream Leverages Advanced Analytics to Reduce Fraud by 200%
sponsored by Infogix
CASE STUDY: This case study explores how MTS Allstream resolved the disconnect between the information they were storing and their ability to analyze this data. Access now to learn more about the enterprise-grade analytics platform they leveraged to revolutionize fraud management.
Posted: 05 Aug 2016 | Published: 31 Dec 2015

Infogix

Case Study: Enhancing Accuracy of Front-to-Back Office Information Flow
sponsored by Infogix
CASE STUDY: Société Générale, a leading European financial services institution, decided to adopt a process-centric approach to ensure the integrity of transactions end-to-end. This case study explains how they identified critical information exchanges between apps and assessed corresponding risk by embracing automated analytics.
Posted: 04 Aug 2016 | Published: 31 Dec 2015

Infogix

Information Lifecycle Governance Maturity Assessment
sponsored by IBM
RESOURCE: Increasing storage and maintenance costs, duplication of resources, the lack of trusted content, and exposure to risks and litigation are problems plaguing many enterprises today. So why are companies holding on to every bit of data? Take this assessment to determine your level of information governance maturity and see how much more you can grow.
Posted: 26 Jul 2016 | Published: 26 Jul 2016

IBM

Building Success: Strengthen your Data Discovery and Classification
sponsored by IBM
WHITE PAPER: How can you strengthen your data foundation without compromising its integrity? This Forrester Research Report breaks down the struggle with data discovery and security. What are strong approaches to data classification that you can implement in your company moving forward? Read this report now and find out.
Posted: 25 Jul 2016 | Published: 01 Oct 2014

IBM

Data Quality Maturity is an Elusive Metric: Learn How to Measure It
sponsored by Infogix
WHITE PAPER: Explore how you can provide a complete view of data issues and co-relate data quality metrics that are objectively collected through profiling. Discover how you can start trusting the integrity of your data and provide better content clarity.
Posted: 12 Jul 2016 | Published: 12 Jul 2016

Infogix

Learn the Virtues of Data Classification for Remedying Dark Data Challenges
sponsored by Infogix
WHITE PAPER: Research firm IDC states that up to 90% of big data environments today are made up of dark data. Learn how to define, understand, and identify dark data symptoms. Plus, explore ways to remediate dark data challenges and map your data into 4 categories to measure usage and derive value.
Posted: 12 Jul 2016 | Published: 12 Jul 2016

Infogix

Gathering, Organizing, and Presenting Your Data
sponsored by NEC Corporation of America
EGUIDE: In this expert e-guide we walk you through the best way to organize and present your data, and explain how you can access large amounts of information rapidly. You'll learn how to create a collaborative data governance program, implement data visualization techniques, avoid inconsistent analysis by removing the need for data sampling, and more.
Posted: 29 Sep 2016 | Published: 29 Sep 2016

NEC Corporation of America

How to Optimize Your Master Data Management Strategy
sponsored by IBM
EGUIDE: This expert e-guide explores an integrated approach to master data management (MDM) that incorporates an enterprise data governance program. Inside, you'll find out how to optimize your data quality strategy and learn how to garner business support for your MDM initiative.
Posted: 26 Sep 2016 | Published: 21 Sep 2016

IBM

Simplifying and Accelerating Master Data Management
sponsored by Information Builders
WHITE PAPER: Many MDM projects are failing due to time and effort requirements. This white paper discusses the problems that face traditional MDM approaches and data mastering innovations. Leverage best practices and new technology to improve the view of your data across the enterprise.
Posted: 30 Aug 2016 | Published: 31 Dec 2015

Information Builders

The Top 5 "Worst Practices" In Business Intelligence
sponsored by Information Builders
WHITE PAPER: Even the best-run businesses in the world can commit the common missteps that lead to lukewarm BI performance. This white paper identifies and explores the 5 "worst practices" that contribute to poor BI deployments. Find out how they negatively impact BI from both a technology and a business perspective and learn how to avoid them.
Posted: 30 Aug 2016 | Published: 30 Aug 2016

Information Builders

Information Management and MDM: Getting the Most from Clinical Data
sponsored by Information Builders
WHITE PAPER: This white paper examines the obstacles healthcare payers experience when planning and implementing a strategy for collecting, managing, and exchanging clinical data for value-based care. Discover how to unlock truly actionable data with an integrated approach to information management, data quality, master data management, and more.
Posted: 29 Aug 2016 | Published: 29 Aug 2016

Information Builders

The 8 Worst Practices in Master Data Management and How to Avoid Them
sponsored by Information Builders
WHITE PAPER: This white paper explores the 8 "worst practices" of master data management. Find out how to navigate these obstacles on the road to a successful MDM and data governance program for big data.
Posted: 29 Aug 2016 | Published: 29 Aug 2016

Information Builders

7 Key Challenges to Value-Based Care: Ensuring Patient-Centered Care With Information Management
sponsored by Information Builders
WHITE PAPER: This white paper explores how to address some of the challenges of moving towards value-based healthcare with a strategy for improving the way patient data is collected, managed, and exchanged. Access now to find out more about an integrated approach to master data management, data quality, information management, and more.
Posted: 29 Aug 2016 | Published: 29 Aug 2016

Information Builders

6 Issues That Can Derail Your Big Data Initiative
sponsored by Information Builders
WHITE PAPER: 55% of big data projects are never finished. Your Hadoop ecosystem is more important to these projects than you may realize, so it's important to fully understand the role it plays. This white paper discusses the 6 primary issues that are knocking big data projects off the tracks, and how to get your data management back on track.
Posted: 26 Aug 2016 | Published: 26 Aug 2016

Information Builders

Optimize Supply Chain Management with an In-Memory Data Platform
sponsored by Intel Corporation
WHITE PAPER: Legacy supply chains can suffer from issues like data latency, data fragmentation, and a lack of scalability, which can hold businesses back in an increasingly fast-paced, data-driven world. Find out how to empower supply chain management teams with agility, real-time business intelligence, and predictive analytics capabilities.
Posted: 24 Aug 2016 | Published: 30 Jun 2016

Intel Corporation

How Financial Firms Can Improve Data Quality: Learn From The Experts
sponsored by Trillium Software
WHITE PAPER: In this white paper, a roundtable of 10 industry experts weigh in on the ways financial firms can improve data quality. Learn more about IT's role in assessing data quality and what these experts recommend for best practices.
Posted: 18 Aug 2016 | Published: 18 Aug 2016

Trillium Software

Self-Service Data Preparation: Vendors, Trends, and Updates
sponsored by Trillium Software
WHITE PAPER: Learn about the current state of the self-service data preparation and cataloguing market to help you find the best platform to suit your needs. Get an in-depth look at 20 vendors—including SAP, SAS, Trillium, and more—as well as an overview of key market trends.
Posted: 17 Aug 2016 | Published: 29 Apr 2016

Trillium Software

Leading the Data-Driven Transformation: The CIO & The New Age of Data Quality
sponsored by Trillium Software
WHITE PAPER: Discover the top 6 challenges modern CIOs face, and explore how to leverage data quality to propel CIO success. Learn the best practices for sustainable information management strategies, allowing your CIOs to transform your business models through data-driven digitization.
Posted: 15 Aug 2016 | Published: 01 Aug 2016

Trillium Software

Pushing the Start Button on Information Lifecycle Governance
sponsored by IBM
WHITE PAPER: Strong information governance ensures that big data remains an advantage for your company. It is important to realize that information governance improvement has to come slowly, in steps instead of strides. Read on to gauge your company's information governance maturity and how to set realistic goals.
Posted: 28 Jul 2016 | Published: 30 Jan 2015

IBM

The Game Changes: 10 Essential Elements for Truly Effective Compliance Programs
sponsored by IBM
WHITE PAPER: Finding a way to make compliance effective is imperative and yet still elusive for many organizations. In this white paper from Steinberg Governance Advisors, Inc., learn what "effective" compliance really means by exploring 10 essential elements.
Posted: 26 Jul 2016 | Published: 31 Dec 2012

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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