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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 292 Matches Previous Page  |  Next Page
Data Preparation: Preparing for BI success
sponsored by Yellowfin
WHITE PAPER: Discover how a built-in data preparation module can eliminate the cost of using two BI products, and reduce integration challenges. Then, learn about how you can leverage a metadata layer in your BI so that any changes made will be uniformly reflected across all content, and more.
Posted: 29 Nov 2016 | Published: 29 Nov 2016

Yellowfin

Which Embedded Analytics Tool is Right For You?
sponsored by GoodData
WHITE PAPER: This report from the Eckerson Group helps you sift through the pile of BI vendors and find the one that's right for your company. Inside you'll find 12 criteria for evaluating embedded analytics solutions, as well as 5 strategies for implementing your new program so you can find the best way to put your data to work for you.
Posted: 11 Nov 2016 | Published: 30 Apr 2016

GoodData

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

Unleash Transformational Business Change by Modernizing Your Database Technology Platform
sponsored by Cintra/Oracle
WHITE PAPER: Access this white paper to learn why many organizations struggle to develop an integrated technology strategy, and how a strong Oracle database could drive your company's digital transformation. Inside learn the quantifiable benefits of moving to a hyper-converged platform, a strategy for modernizing your Oracle database, and more.
Posted: 07 Nov 2016 | Published: 07 Nov 2016

Cintra/Oracle

Machine Data Analytics Drives the Success of DevOps
sponsored by Splunk
WHITE PAPER: This white paper explores how a consolidated data analytics platform 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 that measures, reports, and ultimately, demonstrates the success of DevOps.
Posted: 14 Oct 2016 | Published: 14 Oct 2016

Splunk

Data & Analytics Maturity Model & Business Impact
sponsored by Microsoft
WHITE PAPER: Download the Keystone Research whitepaper to see how top performing enterprises use their IT investments to store, process, and use data to make more effective, real-time decisions.
Posted: 06 Oct 2016 | Published: 28 Aug 2016

Microsoft

Discover the 4 Important Points of Data Profiling
sponsored by Melissa Data Corp
WHITE PAPER: In this white paper, you'll learn 4 steps to mastering data consolidation, including the ability to quickly qualify your data and automatically consolidate various forms to make it both accessible and insightful.
Posted: 05 Oct 2016 | Published: 05 Oct 2016

Melissa Data Corp

Golden Records are Key to Solid Data Quality
sponsored by Melissa Data Corp
WHITE PAPER: Data Quality works to resolve the issue of dealing with incorrect or incomplete information. But how you go about identifying and correcting information is extremely important. This white paper explains Data Quality and the best approaches that can optimize the process.
Posted: 03 Oct 2016 | Published: 31 Aug 2016

Melissa Data Corp

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

Analytics with No Limits: Real Time Responsiveness at the Speed of Thought
sponsored by NICE Systems, Inc
WHITE PAPER: Running up against data speed, accuracy, and accessibility challenges sounds daunting -- but it's not impossible. Discover ways to break through these barriers with automated, real-time and historical analytics tools.
Posted: 22 Aug 2016 | Published: 22 Aug 2016

NICE Systems, Inc

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

Cloud-based IT-as-a-Service: Providers, SLAs, and More
sponsored by Catchpoint Systems Inc.
WHITE PAPER: This white paper explores ITaaS providers, SLAs and more. Examine the keys to an ITaaS business, what reporting and analysis in the cloud can do to your business performance and revenue, and 5 reasons your SaaS business should monitor behind the firewall.
Posted: 08 Aug 2016 | Published: 08 Aug 2016

Catchpoint Systems Inc.

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

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

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
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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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