IT Management  >   Systems Operations  >   Data Management  >  

Data Quality

RSS Feed    Add to Google    Add to My Yahoo!
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
1 - 25 of 578 Matches Previous Page  |  Next Page
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

Moving Beyond Masking and Subsetting: Realizing the Value of Test Data Management
sponsored by CA Technologies
WHITE PAPER: This paper describes common problems and potential benefits of Test Data Management (TDM) in a testing and development environment. Debunk assumptions that could be holding you back from better TDM, learn why masking production data is not a simple solution, and discover a more efficient and easier TDM policy for IT.
Posted: 22 Sep 2016 | Published: 31 Jul 2016

CA Technologies

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

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

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

Developing a Strategy for Data Lake Governance
sponsored by Zaloni
WEBCAST: Access this webinar to learn about how to develop the best data lake governance strategy to fit your organization's goals. Discover how to start building and managing your data lake while enabling it to deliver valuable, actionable business insight.
Posted: 17 Aug 2016 | Premiered: May 18, 2016

Zaloni

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 Lakes: The 360-Degree 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 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

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.

Case Study: Enhancing Risk Mitigation with Automated, Flexible Analytics
sponsored by Infogix
CASE STUDY: Meta Payments Systems wanted to identify and mitigate information risks proactively within their processing environment by deploying automated analytics. Find out how they enhanced visibility, generated valuable operational insight, and resolved information risks with an advanced analytics platform.
Posted: 08 Aug 2016 | Published: 31 Dec 2015

Infogix

Case Study: Guaranteeing Data Integrity from Diverse Sources
sponsored by Infogix
CASE STUDY: After initiating the move towards an open systems environment, GuideOne found themselves looking for independent, continuous and automated data analysis in order to control complexity and seamlessly retrieve data from diverse sources and formats. Find out how they leveraged advanced analytics to implement flexible data analysis.
Posted: 08 Aug 2016 | Published: 31 Dec 2015

Infogix

MTS Allstream Leverages Advanced Analytics to Reduce Fraud by 200%
sponsored by Infogix
CASE STUDY: This case study explores how MTS Allstream resolved the disconnect between the information they were storing and their ability to analyze this data. Access now to learn more about the enterprise-grade analytics platform they leveraged to revolutionize fraud management.
Posted: 05 Aug 2016 | Published: 31 Dec 2015

Infogix

Case Study: Enhancing Accuracy of Front-to-Back Office Information Flow
sponsored by Infogix
CASE STUDY: Société Générale, a leading European financial services institution, decided to adopt a process-centric approach to ensure the integrity of transactions end-to-end. This case study explains how they identified critical information exchanges between apps and assessed corresponding risk by embracing automated analytics.
Posted: 04 Aug 2016 | Published: 31 Dec 2015

Infogix

Gartner Magic Quadrant for Data Quality
sponsored by Trillium Software
WHITE PAPER: Find out how you can effectively manage your data to ensure quality analytic results with this Magic Quadrant report. Compare and contrast top data quality tools to determine which strategy could meet the data quality and data cleansing needs of your organization, and ultimately ensure your data is well-managed and clean.
Posted: 03 Aug 2016 | Published: 18 Nov 2015

Trillium Software

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: 03 Aug 2016 | Published: 28 Apr 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: 02 Aug 2016 | Published: 29 Apr 2016

Trillium Software
1 - 25 of 578 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 … 
Data Quality definition sponsored by SearchDataManagement.com, powered by WhatIs.com an online computer dictionary

About TechTarget:

TechTarget provides enterprise IT professionals with the information they need to perform their jobs - from developing strategy, to making cost-effective IT purchase decisions and managing their organizations' IT projects - with its network of technology-specific Web sites, events and magazines

All Rights Reserved, Copyright 2000 - 2016, TechTarget | Read our Privacy Statement