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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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The 3 Building Blocks of a Successful Data Governance Business Case
sponsored by Collibra
EBOOK: The world of data is growing fast – 90% of the world's data was created in the past 2 years alone. But as the volume of data grows, so do the challenges of keeping it timely, accurate and trustworthy. Learn the 3 key building blocks of a successful data governance business case, so you can begin your data governance initiative on the right foot.
Posted: 06 Apr 2017 | Published: 06 Apr 2017

Collibra

A Data Catalog For Today's Data Citizens
sponsored by Collibra
WHITE PAPER: With so much data stored all over, organizations are setting up new data initiatives to improve the customer experience, grow more efficiently, and build competitive advantage. But sadly, too many of today's data initiatives come up short. Discover why many initiatives fail, and what you can do to help them flourish instead.
Posted: 06 Apr 2017 | Published: 06 Apr 2017

Collibra

The Unrealized Promise of Analytics (And How Data Governance Can Help)
sponsored by Collibra
EBOOK: Discover how businesses can succeed with analytics by leveraging data governance. Learn how to create effective BI and analytics strategies and uncover 3 big data housekeeping measures you can't overlook as well as how to overcome 5 challenges to manage data overload.
Posted: 05 Apr 2017 | Published: 05 Apr 2017

Collibra

Delivering On The Promise Of Big Data Through Data Governance
sponsored by Collibra
WHITE PAPER: This white paper explores how to use data governance to close the gap between big data and deriving optimal value from it. Discover how to make data more manageable and trustworthy, and uncover 5 key steps that enable your organization to reap big data rewards through data governance.
Posted: 04 Apr 2017 | Published: 31 Dec 2016

Collibra

4 Success Actions For A Chief Data Officer's First Year
sponsored by Information Builders
WHITE PAPER: Data has become such a crucial asset that many organizations have been prompted to create a role specifically to oversee it – the chief data officer (CDO). But what are the expectations of CDOs, apart from maintaining data? Discover the 4 quintessential actions for a CDO to take in their first year.
Posted: 08 Mar 2017 | Published: 08 Mar 2017

Information Builders

Are we trusting social networks too much?
sponsored by ComputerWeekly.com
ESSENTIAL GUIDE: This article in our Royal Holloway Security Series sheds an often uncomfortable light on the privacy risks people incur by using social media, and offers advice on how to minimise those risks
Posted: 31 Jan 2017 | Published: 31 Jan 2017

ComputerWeekly.com

Are you one eDiscovery away from a budgetary meltdown?
sponsored by ComputerWeekly.com
ANALYST REPORT: Using an online object storage platform with global namespaces can provide full data protection, high availability and easily managed eDiscovery in a way that fully supports the business, say analysts Clive Longbottom and Marcus Austin.
Posted: 25 Jan 2017 | Published: 25 Jan 2017

ComputerWeekly.com

Gaining Support for ITAM: Improve IT Operations Through Data Curation
sponsored by BDNA
VIDEO: Tune into this webinar to learn how to enforce enterprise-wide data consistency and improve IT operations with robust ITAM that transforms multi-source data into actionable business insight.
Posted: 03 Nov 2016 | Premiered: 31 Jul 2016

BDNA

MDM: 5 Steps to Implementing a Successful Program
sponsored by Triniti
EGUIDE: Companies will typically begin MDM efforts in one domain area before expanding to a multi-domain program model. When taking the multi-domain leap, it's critical to keep key elements in mind. In an excerpt from a MDM book, experts explain how to identify MDM domains and your master data. Plus, learn 5 steps to implementing a MDM program.
Posted: 20 Mar 2017 | Published: 13 Mar 2017

Triniti

Data Protection & Privacy: Next Steps and 5 Best Practices
sponsored by HPE and Intel® Xeon
WHITE PAPER: The internet and data privacy laws have been on a collision course for some time now – and it's accelerated by digital transformation sweeping across companies. Inside, explore the challenges that global businesses face when confronting the policy environment, and find 5 best practices to help you meet evolving data privacy and security demands.
Posted: 28 Feb 2017 | Published: 28 Feb 2017

HPE and Intel® Xeon

Big Data, Bad Data, Good Data: The Link Between Information Governance and Big Data Outcomes
sponsored by IBM
WHITE PAPER: Big data analytics offer companies an opportunity to derive new business insights and drive smarter decisions. But the outcome of any big data analytics project is only as good as the quality of data being used. In this IDC report, discover the link between good information governance and the outcome of big data analytics projects.
Posted: 08 Feb 2017 | Published: 01 Jan 2015

IBM

Business Value: The Key to Data Governance Software Selection
sponsored by SearchDataManagement
EBOOK: This expert buyer's guide explores how to narrow down your choices for purchasing a data governance tool. Discover how to align business objectives with the software's capabilities and learn how to build data quality management and big data strategies into your data governance initiatives.
Posted: 12 Jan 2017 | Published: 06 Jan 2017

SearchDataManagement

Strategies For Effective Big Data Governance And Supporting Analytics Programs
sponsored by IBM
EGUIDE: Governing large and varied sets of big data is difficult. In this expert e-guide, Dr. Anne Smith, Principal Consultant at Alabama Yankee Systems, LLC reveals 7 best practices for instituting effective policies for governing sets of big data. Plus, learn how a solid data governance plan sows the seeds for a successful self-service analytics program.
Posted: 02 Dec 2016 | Published: 02 Dec 2016

IBM

Clean Data in Cloud Analytics Removes The Divide Between User and Data
sponsored by SAP
EGUIDE: In this expert e-guide, learn how cloud analytics removes the barrier between business workers and important data. Discover why you should use only quality data in your cloud analytics, and how software platform company ServiceChannel eased the burden on their IT department by deploying a cloud BI platform.
Posted: 02 Nov 2016 | Published: 02 Nov 2016

SAP

Getting a Grip on Content: Empowered Content Collaboration in the Cloud
sponsored by IBM
RESOURCE: Access this resource for insight into how collaboration capabilities can turn content into a competitive advantage and striking the balance between content security and access. Additionally, discover resource requirements for deploying an ECM tool, and learn more about cloud-based content management implementation.
Posted: 19 Oct 2016 | Published: 31 Dec 2015

IBM

Taking Your Enterprise Data Governance Plan Up a Notch
sponsored by Veritas
EGUIDE: In this expert e-guide, we explore how to create an enterprise data governance framework. Uncover some strategic best practices for big data governance so that you can boost data quality and prevent critical inconsistencies.
Posted: 10 Oct 2016 | Published: 05 Oct 2016

Veritas

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
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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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