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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 281 Matches Previous Page  |  Next Page
Data Refinement: Facilitating the data-driven organization
sponsored by IBM
WHITE PAPER: This comprehensive Forrester report found that well-planned and executed data refinement is the new benchmark of success. Read on to learn more about data refinement including key aspects, where you should place your investments, and how to make it work for your business.
Posted: 22 Jun 2016 | Published: 30 Jun 2015

IBM

How to Achieve a Unified View of Your Customers
sponsored by Trillium Software
WHITE PAPER: Considering a master data management (MDM) project to achieve a unified view of your customers but worried about cost, complexity and timing? Explore an alternative approach – focused on CRM technology – to see if it can work for your organization.
Posted: 10 Jun 2016 | Published: 10 Jun 2016

Trillium Software

DataWorks Solution Brief
sponsored by IBM
WHITE PAPER: 42% of business professionals spend more than 40% of their time fixing and validatiing data before analyzing it. With increasing amounts of data coming from new technologies, this is a major pain point. Read on to learn about a solution that delivers data quality and easy access for business users.
Posted: 09 Jun 2016 | Published: 31 Dec 2015

IBM

5 Data Quality Problems in Every CMDB
sponsored by BDNA
WHITE PAPER: Explore why clean data is essential for your configuration management database (CMDB). Uncover the top 5 data quality problems in every CMDB and how you can address these challenges.
Posted: 29 Apr 2016 | Published: 31 Dec 2015

BDNA

Build a Reliable, Accurate CMDB by Addressing Data Quality
sponsored by BDNA
WHITE PAPER: Discover the top data quality issues derailing your configuration management database (CMDB) initiatives. Learn how you can build and maintain an accurate, reliable CMDB by taking the steps to address poor data quality.
Posted: 29 Apr 2016 | Published: 31 Dec 2015

BDNA

How to Succeed in the New Age of Data Quality
sponsored by Trillium Software
WHITE PAPER: Businesses need accurate, easy-to-access customer data to make important business decisions. But enterprise data is not always reliable. Discover how a data quality program can ensure accuracy for more effective business decisions.
Posted: 28 Apr 2016 | Published: 28 Apr 2016

Trillium Software

Put The Business Back In Your Data Management Business Case
sponsored by Microsoft
WHITE PAPER: In this Forrester report, learn how you can build a data-driven business strategy and how to make the business case for a data management agenda. Key topics of discussion include creating a business go-to team that is fueled by data, framing your business strategy as a business success story, and more.
Posted: 27 Apr 2016 | Published: 18 Nov 2015

Microsoft

Keys-to-Data-Success
sponsored by Trillium Software
WHITE PAPER: Launching a data governance program can be challenging, even if you've already sought out resources for help. This white paper features tips and tricks to further your knowledge about undertaking a new, successful data governance plan or rebuilding your current setup with a stronger foundation.
Posted: 27 Apr 2016 | Published: 27 Apr 2016

Trillium Software

Importance of DQ in the Age of Digital Transformation
sponsored by Trillium Software
WHITE PAPER: Data is at the heart of digital transformation, and as an essential element in the majority of business initiatives, organizations need to ensure that their data is accurate. Download this white paper now to discover how data quality tools can ensure a successful digital transformation for your business.
Posted: 26 Apr 2016 | Published: 26 Apr 2016

Trillium Software

Data Quality Challenges Hindering Your CRM Initiatives
sponsored by Trillium Software
WHITE PAPER: This white paper explores the top data challenges of CRM. Discover ideas on how you can address poor data quality to help ensure the success of your CRM initiatives.
Posted: 26 Apr 2016 | Published: 31 Dec 2015

Trillium Software

Best Practices for Enterprise IT Data Quality
sponsored by BDNA
WHITE PAPER: This white paper explores how you can successfully accelerate data maturity by leveraging 3 core capabilities: reference language, data abstraction, and content refresh processes. Plus, learn a 3-phased approach to addressing poor data quality in your enterprise.
Posted: 25 Apr 2016 | Published: 25 Apr 2016

BDNA

Navigating The Data Quality Challenges of CRM
sponsored by Trillium Software
WHITE PAPER: This white paper examines why data quality is essential to effective CRM initiatives and provides ideas on how you can achieve customer data integrity.
Posted: 25 Apr 2016 | Published: 25 Apr 2016

Trillium Software

Maximize CRM's Potential with Data Quality
sponsored by Trillium Software
WHITE PAPER: This white paper addresses data quality issues that may be reducing the effectiveness of your CRM initiatives. Learn how you can ensure data quality in your enterprise to establish a foundation for accurate analytics, forecasting, and targeting, ultimately improving the customer experience.
Posted: 01 Apr 2016 | Published: 01 Apr 2016

Trillium Software

Overcoming Data Sovereignty and Security Challenges with the Cloud
sponsored by Cogeco PEER 1
WHITE PAPER: Access this valuable resource now and learn how to stay ahead of data residency laws, ensure you are storing data correctly, and safeguard your customer's data and ensure that its sovereignty remains intact.
Posted: 01 Apr 2016 | Published: 01 Apr 2016

Cogeco PEER 1

Pitney Bowes’s CIM and Hortonworks
sponsored by Hortonworks
WHITE PAPER: The rapid growth of big data analytics is calling for new tools for enterprises to effectively extract insights from structured and unstructured data. In this white paper you will learn more about the paradigm shift, and new tools that can help your organization get the most out of your big data.
Posted: 29 Mar 2016 | Published: 29 Mar 2016

Hortonworks

Data Preparation: Immediate Value From Your Hortonworks Data Platform.
sponsored by Hortonworks
WHITE PAPER: Most types of enterprise data is not usable "as-is" which is why data preparation is a critical element in the big data analytics process. Discover how one vendors' flexible data preparation software when pared with Hadoop can reduce the time for data preparation in traditional analytic systems by 90%.
Posted: 28 Mar 2016 | Published: 28 Mar 2016

Hortonworks

The Importance of Data Quality for CRM
sponsored by Trillium Software
WHITE PAPER: This white paper discusses how you can overcome customer data challenges in your CRM systems by improving data quality processes, and unlock potential benefits, like: increased revenue per customer, reduced errors in operational systems, and more.
Posted: 28 Mar 2016 | Published: 28 Mar 2016

Trillium Software

Prepare and maintain your data - Data quality and master data management in a hybrid environment
sponsored by IBM
WHITE PAPER: Access this white paper to discover how you can prepare and maintain your data in a hybrid environment with data quality and master data management tools. Learn how you can achieve actionable insights with top notch data.
Posted: 16 Mar 2016 | Published: 30 Apr 2015

IBM

Optimize Oracle Database Performance with Workload Visibility and Lock Analytics
sponsored by Dell Software
WHITE PAPER: In this white paper, explore the ways multidimensional workload analysis, lock and wait analysis, and other advanced performance diagnostics can make DBAs' lives easier as they manage Oracle SQL databases.
Posted: 16 Mar 2016 | Published: 31 Dec 2015

Dell Software

Traditional BI and Exploratory Analytics: Get the Best of Both Worlds
sponsored by IBM
WHITE PAPER: How can you choose between traditional BI, which focuses on finding the "exact picture," and exploratory analytics, which looks for the "big picture?" This resource describes a tool that combines the best of both worlds, unifying these two approaches.
Posted: 04 Feb 2016 | Published: 11 Jan 2016

IBM

The Emergence of Governed Discovery
sponsored by Qlik
WHITE PAPER: Governed discovery empowers users to develop, analyze, and collaborate anywhere, while providing IT with the tools to manage the environment. Learn the 3 things you need to enable governed discovery.
Posted: 14 Jan 2016 | Published: 31 Dec 2015

Qlik

3 Big Data Myths Busted
sponsored by Qlik
WHITE PAPER: Organizations have been prevented from realizing the value of big data by these three incorrect myths: Big data is all about size, it requires a data scientist, and you need a system like Hadoop to deal with it. Access this resource to learn why these myths are unfounded and to discover how you can get to the big point behind big data.
Posted: 14 Jan 2016 | Published: 31 Dec 2014

Qlik

5 Ways of Reporting Your BI Insights
sponsored by Qlik
WHITE PAPER: The implementation of analytics software for all areas of a company allows departments to collaborate in the sharing and synthesizing of information. Access this resource to discover 5 ways to maximize the value of data by sharing it with others.
Posted: 13 Jan 2016 | Published: 31 Dec 2015

Qlik

Transform Your Data with Anzo Smart Data Manager
sponsored by Cambridge Semantics
WHITE PAPER: This white paper highlights a data management tool that allows enterprises to collect data sources into a centralized catalog and flexibly add the amount of metadata. Access now to see how this data platform can help your enterprise turn your data swamp into a data lake.
Posted: 09 Mar 2016 | Published: 09 Mar 2016

Cambridge Semantics

Common Pittfalls of Data Lakes
sponsored by Cambridge Semantics
WHITE PAPER: In this white paper you will uncover 3 of the most common pitfalls of data lakes and learn how your business can avoid them. Download now to learn more.
Posted: 09 Feb 2016 | Published: 09 Feb 2016

Cambridge Semantics
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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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