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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 296 Matches Previous Page  |  Next Page
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

Ensure A Safe, Successful Move To The Cloud With A Good Information Governance Plan
sponsored by IBM
WHITE PAPER: The benefits of moving data to the cloud are numerous, but doing so without an information governance plan in place can cause more problems than it solves. In this white paper, learn how you can create an effective information governance methodology and increase your success of migrating safely to the cloud.
Posted: 06 Feb 2017 | Published: 06 Feb 2017

IBM

How To Use Data Visualization to Create a Data-Driven Organization
sponsored by Zoomdata
WHITE PAPER: A data-driven organization uses data to tell an effective story, and one way to do so is by using data visualization to your advantage. In this e-book chapter, you'll learn how to craft a compelling portrait using data. Find 3 keys to creating a successful, visual data presentation, discover the main goals your data should serve, and more.
Posted: 25 Jan 2017 | Published: 20 Jul 2015

Zoomdata

Data Preparation: How To Prepare 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

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

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

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

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
1 - 25 of 296 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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