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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 White Papers (View All Report Types)
1 - 25 of 293 Matches Previous Page  |  Next Page
Data Governance, Customer Experience & The GDPR
sponsored by Informatica
WHITE PAPER: A top priority for any financial services company should be customer-centricity. Eventually, data governance will be a primary way of enhancing the customer experience. So how does complying with the European General Data Protection Regulation (GDPR) help reach this goal? Learn how data governance, customer experience, and the GDPR go hand-in-hand.
Posted: 25 May 2017 | Published: 01 Jul 2016

Informatica

How to Become a Data Governance Expert
sponsored by Collibra
WHITE PAPER: The end-game is no longer about a better data warehouse – it's about the value that data can deliver to the business. And for that data to mean something, it needs to be consumable by everybody in the organization, not just the data whizzes. Learn how to take the first step to becoming a data governance expert.
Posted: 22 May 2017 | Published: 22 May 2017

Collibra

Boost Business Returns with Faster, Smarter Data Lakes
sponsored by Teradata
WHITE PAPER: To realize the value in organizational data, it is imperative that organizations align forces; choosing the right data lake approach to support business strategy and growth. Learn about Kylo, an open-source data lake management software platform, and how it incorporates data quality, governance, monitoring and more.
Posted: 19 May 2017 | Published: 19 May 2017

Teradata

5-Step Data Quality Framework For Data In Motion
sponsored by Infogix
WHITE PAPER: 6 out of 10 users don't trust their data – and this is all the more strengthened when data is flowing through a myriad of systems prior to analysis. The truth is, if your data is in motion, you may have data quality issues. Learn a 5-step data quality framework for data in motion.
Posted: 15 May 2017 | Published: 15 May 2017

Infogix

Data Governance for Self-Service Analytics
sponsored by Tableau Software
WHITE PAPER: Almost any organization will say they make decisions based on data, or that they want to – but just a few questions reveal that confidence is often unfounded. Learn 4 key questions to ask yourself about the quality of your data.
Posted: 11 May 2017 | Published: 11 May 2017

Tableau Software

Improve Your Self-Service Analytics Credibility with Data Quality
sponsored by Pyramid Analytics
WHITE PAPER: In the journey to become more data-driven in decision making, companies seek unprecedented democratization of data and adoption of self-service analytics. But inaccurate data undermines the powerful value of self-service analytics, so you must be sure you data quality is up-to-par. Learn common data quality issues and how to prevent them.
Posted: 24 Apr 2017 | Published: 24 Apr 2017

Pyramid Analytics

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

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

How to Transform Your Business and Customer Experiences by Connecting Data
sponsored by Tealium
WHITE PAPER: Organizations struggle to solve one underlying problem: Fragmented customer data. And this problem can lead to several more. In this paper, discover 4 core problems that fragmented data causes, and how you can take a universal approach to customer data to mitigate problems.
Posted: 27 Mar 2017 | Published: 27 Mar 2017

Tealium

Data Protection & Privacy: Next Steps and 5 Best Practices
sponsored by HPE and Intel®
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®

The Information Revolution: How Are You Harnessing Your Data?
sponsored by OpenText
WHITE PAPER: Data overload is real. But analytics can help you govern your data so you don't drown in it. Learn how you can harness new innovations like the IoT to transform your data into a wealth of actionable insights.
Posted: 13 Feb 2017 | Published: 01 Sep 2016

OpenText

The Future of Model Risk Management for Financial Services Firms
sponsored by SAS
WHITE PAPER: This white paper covers the current state of model risk management (MRM) for financial firms, as well as posits some ideas about what the future of financial modeling is going to look like. Inside you'll learn about the impact that new regulatory developments for banks has had on MRM, 5 important new features of modeling technology, and more.
Posted: 10 Nov 2016 | Published: 10 Nov 2016

SAS

A Path to Good Risk Taking Through Data Analytics
sponsored by SAS
WHITE PAPER: This white paper explores the strategic benefit of making analytics an integral part of your risk management plan. Inside, learn 11 principles for enhancing risk management and the way banks are currently leveraging analytics for risk assessment. You'll also find some risk management success stories.
Posted: 10 Nov 2016 | Published: 10 Nov 2016

SAS

Best Practices for Modernizing Enterprise Decision Making
sponsored by SAS
WHITE PAPER: In this resource, 3 professors share insights and best practices for improving your organization's data-informed decision making. Discover the importance of visualizing data, tailoring analytics reports to meet specific needs, cultivating a culture of data-informed decision making, and more.
Posted: 08 Nov 2016 | Published: 08 Nov 2016

SAS

Machine Data Analytics Drives the Success of DevOps
sponsored by Splunk
WHITE PAPER: This white paper explores how a consolidated data analytics program based around the use of machine data can help you foster an agile and responsive DevOps culture. Discover how you can create a tight feedback loop measuring, reporting, and demonstrating the success of DevOps.
Posted: 14 Oct 2016 | Published: 14 Oct 2016

Splunk

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

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

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
1 - 25 of 293 Matches Previous Page    1 2 3 4    Next Page
 
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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