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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)
26 - 50 of 302 Matches Previous Page  |  Next Page
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

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

The Top 5 "Worst Practices" In Business Intelligence
sponsored by Information Builders
WHITE PAPER: When it comes to implementing BI tools, even the best-run businesses in the world can make common missteps that lead to lukewarm BI performance. This paper explores the 5 "worst practices" that contribute to poor BI deployments. Discover negative impacts from a technology and a business perspective, and learn how to avoid them.
Posted: 30 Aug 2016 | Published: 30 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. Learn the 6 primary issues that are knocking big data projects off the tracks, and learn how to get your data management back to where it should be.
Posted: 26 Aug 2016 | Published: 26 Aug 2016

Information Builders

A Governed Data Lake: The 360° Approach
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 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

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

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

Ensuring Integrity of Financial Data Warehouse Information
sponsored by Infogix
WHITE PAPER: Learn how a large insurance company overcame poor data integrity from its varied sources and platforms and gained consistent financial reporting from all sources, efficient, timely reconciliation between GL and data warehouse, and SOX compliance.
Posted: 11 Jul 2016 | Published: 31 Dec 2014

Infogix

Case Study: How a Fortune 100 Company Automated Data Quality to Reduce Errors
sponsored by Infogix
WHITE PAPER: In this case study, explore how a financial services company leveraged data analysis techniques to better manage its $500 billion in assets and improve data quality. Learn how you can implement this process to lower risk rate and automate your data quality.
Posted: 08 Jul 2016 | Published: 31 Dec 2015

Infogix

Four Reasons it's Time to Move Beyond Excel
sponsored by Salesforce.com
WHITE PAPER: Excel works great for inputting data and crunching numbers, but it simply can't provide a comprehensive view of your data. In this white paper, discover how you can visualize data like never before and uncover hidden insights. Learn how you can explore sales data on any device, accelerate time to value, and ultimately, see the whole picture.
Posted: 07 Jul 2016 | Published: 07 Jul 2016

Salesforce.com

Data Science is a Team Sport. Do You Have the Skills to Be a Team Player?
sponsored by IBM
WHITE PAPER: To get the most valuable insights, quickly and reliably, successful organizations build data science teams that incorporate different skill sets and responsibilities. Learn which talents and abilities define members of a data science team, as well as how they complement each other.
Posted: 06 Jul 2016 | Published: 30 Jun 2016

IBM

Identifying Cloud and Data Quality Opportunities for Big Data
sponsored by IBM
WHITE PAPER: Managing and analyzing data in the cloud has many benefits, but adoption levels remain relatively low, despite the potential benefits. Get the numbers behind leveraging the cloud for business intelligence and big data analytics, and find out how maximizing analytics' potential relies on the quality of your data.
Posted: 30 Jun 2016 | Published: 29 Jun 2016

IBM

Simple, Powerful, Integrated Data Prep and Movement in the Cloud
sponsored by IBM
WHITE PAPER: Unburden your IT department by updating your cloud services and enabling both technical and non-technical business users to derive useful insights from data. Discover how you can ensure data quality with simple data preparation and movement services in the cloud.
Posted: 30 Jun 2016 | Published: 31 Dec 2015

IBM

Understanding Insurance Industry Data Warehousing Challenges
sponsored by IBM
WHITE PAPER: Learn how enhancements in the areas of life insurance and workers' compensation help companies address economic and technological challenges. Plus, discover how to build an effective data warehouse that provides a flexible, scalable solution which enables the consolidation and integration of data.
Posted: 30 Jun 2016 | Published: 30 Nov 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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