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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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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

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

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

Unleash the Power of Predictive Analytics
sponsored by SAP
WHITE PAPER: By finding the link between historical data and trends, businesses can execute the right promotions and increase sales -- and more importantly, learn what to avoid. Discover ways to make a difference to your bottom line with predictive analytics.
Posted: 19 Aug 2016 | Published: 19 Aug 2016

SAP

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.

Mitigate Model Risk and Reduce Model-Related Costs
sponsored by SAS
WHITE PAPER: By establishing risk mitigation and cost reduction strategies targeted at model implementation and operation, you can easily identify models that are vital for guiding the direction of your business. Discover an approach to model risk management that supports your internal decision-making processes.
Posted: 25 Jul 2016 | Published: 31 Dec 2015

SAS

Visual Analytics for Improving Risk Calculation
sponsored by SAS
WHITE PAPER: Where is the banking industry now with having enterprise-wide capabilities to rapidly and accurately understand their risk exposures? Tap this paper to find out. Plus, explore how you can leverage a power engine, visual analytics, and event stream processing to gain a single view of market risk and access insights faster.
Posted: 25 Jul 2016 | Published: 25 Jul 2016

SAS

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

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

Information Lifecycle Governance Maturity Assessment
sponsored by IBM
RESOURCE: Increasing storage and maintenance costs, duplication of resources, the lack of trusted content, and exposure to risks and litigation are problems plaguing many enterprises today. So why are companies holding on to every bit of data? Take this assessment to determine your level of information governance maturity and see how much more you can grow.
Posted: 26 Jul 2016 | Published: 26 Jul 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
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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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