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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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A Governed Data Lake: The 360° Approach
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

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

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

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

Ensuring Integrity of Financial Data Warehouse Information
sponsored by Infogix
WHITE PAPER: Learn how a large insurance company overcame poor data integrity from its varied sources and platforms and gained consistent financial reporting from all sources, efficient, timely reconciliation between GL and data warehouse, and SOX compliance.
Posted: 11 Jul 2016 | Published: 31 Dec 2014

Infogix

Case Study: How a Fortune 100 Company Automated Data Quality to Reduce Errors
sponsored by Infogix
WHITE PAPER: In this case study, explore how a financial services company leveraged data analysis techniques to better manage its $500 billion in assets and improve data quality. Learn how you can implement this process to lower risk rate and automate your data quality.
Posted: 08 Jul 2016 | Published: 31 Dec 2015

Infogix

How to Narrow Down Your Choices for Buying a Data Governance Tool
sponsored by Veritas
EGUIDE: In this expert e-guide, we explore key evaluation factors for selecting the right data governance tool to suit the needs of your organization. Find out which metrics matter most when it comes to picking your tool, like handling metadata objects, managing data quality, addressing unstructured data, and more.
Posted: 10 Oct 2016 | Published: 05 Oct 2016

Veritas

How To Know If Your Organization Is Ready For Data Governance Software
sponsored by Veritas
EGUIDE: It's important to ensure your organization is ready for a governance tool, or your software purchase is likely to fall flat. This e-guide takes a look at three different scenarios where data governance tools are often used to help you determine if your organization is ready for data governance software.
Posted: 10 Oct 2016 | Published: 05 Oct 2016

Veritas

How to Select the Right BI Analytics Tool
sponsored by NEC Corporation of America
EGUIDE: This expert e-guide will help you to decide which type of BI analytics platform is right for you, and the best way you can implement it. Find out if your business is in need of a large program, or if a newer, smaller platform is best. Then learn how to compile a checklist of the capabilities your new analytics program must have.
Posted: 29 Sep 2016 | Published: 29 Sep 2016

NEC Corporation of America

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

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

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

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

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

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

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

Hadoop-Enabled Analytics: Don't Ignore the Elephant in the Room
sponsored by IBM
RESEARCH CONTENT: This report by Aberdeen investigates the impact Hadoop is having on the performance of today's companies and how they use data. Learn why companies using Hadoop are more than 3 times as likely to be satisfied with data quality as those who are not leveraging Hadoop.
Posted: 07 Jul 2016 | Published: 07 Jul 2016

IBM

Four Reasons it's Time to Move Beyond Excel
sponsored by Salesforce.com
WHITE PAPER: Excel works great for inputting data and crunching numbers, but it simply can't provide a comprehensive view of your data. In this white paper, discover how you can visualize data like never before and uncover hidden insights. Learn how you can explore sales data on any device, accelerate time to value, and ultimately, see the whole picture.
Posted: 07 Jul 2016 | Published: 07 Jul 2016

Salesforce.com

Data Science is a Team Sport. Do You Have the Skills to Be a Team Player?
sponsored by IBM
WHITE PAPER: To get the most valuable insights, quickly and reliably, successful organizations build data science teams that incorporate different skill sets and responsibilities. Learn which talents and abilities define members of a data science team, as well as how they complement each other.
Posted: 06 Jul 2016 | Published: 30 Jun 2016

IBM

Identifying Cloud and Data Quality Opportunities for Big Data
sponsored by IBM
WHITE PAPER: Managing and analyzing data in the cloud has many benefits, but adoption levels remain relatively low, despite the potential benefits. Get the numbers behind leveraging the cloud for business intelligence and big data analytics, and find out how maximizing analytics' potential relies on the quality of your data.
Posted: 30 Jun 2016 | Published: 29 Jun 2016

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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