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
51 - 75 of 623 Matches Previous Page  |  Next Page
Data Preparation: Preparing for BI Success
sponsored by Yellowfin
RESEARCH CONTENT: Discover the increasing importance of ease-of-use in BI tools for data analysts and IT pros, and how this factor is impacting BI user adoption trends. Learn about the importance of key features for data preparation, data visualization, data quality, master data management, and more.
Posted: 07 Aug 2017 | Published: 31 Dec 2016

Yellowfin

Practical Steps to Collect, Connect and Share Your Enterprise Data for Better Business Outcomes
sponsored by ERwin
WHITE PAPER: Read on to learn about how taking a business-outcome approach can help realize the true value of your enterprise architecture. Find out what steps you can take to enable this mindset, like learning how to empower C-level executives, using future-state modeling, and more.
Posted: 03 Aug 2017 | Published: 03 Aug 2017

ERwin

The Value of Enterprise-Grade Data Management with Zaloni Bedrock
sponsored by Zaloni
ANALYST REPORT: Organizations are rapidly adopting Hadoop as the foundational technology for housing their data. But what's missing in platforms? In this analyst report from The Enterprise Strategy Group, uncover an overview of data management offerings from Zaloni.
Posted: 29 Jun 2017 | Published: 01 Jul 2016

Zaloni

Solving Fundamental Data Quality Challenges
sponsored by BDNA
WHITE PAPER: Data quality is one of the most important requirements for IT asset management (ITAM) and IT service management (ITSM). Find out what you need to do in the rationalization, refresh, security, automation and planning steps to improve your data quality, and your overall quality of life.
Posted: 01 Jun 2017 | Published: 31 May 2017

BDNA

How to Become a Data Governance Expert
sponsored by Collibra
WHITE PAPER: The end-game is no longer about a better data warehouse – it's about the value that data can deliver to the business. And for that data to mean something, it needs to be consumable by everybody in the organization, not just the data whizzes. Learn how to take the first step to becoming a data governance expert.
Posted: 22 May 2017 | Published: 22 May 2017

Collibra

The Ins and Outs of Harnessing Hadoop
sponsored by TechTarget
RESOURCE: Hadoop clusters make it easier for organizations to process and analyze streams of big data. But there are limits to what the open source technology can do, plus implementation and management challenges. Gain expert advice on using big data to generate business value and competitive advantages in our exclusive resource.
Posted: 03 May 2017 | Published: 07 Oct 2015

TechTarget

Solving the Big Challenges of Big Data Governance
sponsored by TechTarget
RESOURCE: As your organization strives to become more data driven, you need to think more strategically about governing the data you're looking to be driven by. Access our expert guide, Data Governance Points Way to Better Business, to gain a better understanding on what you need to know when implementing or managing a data governance program.
Posted: 03 May 2017 | Published: 18 Mar 2014

TechTarget

Mitigating data quality complexities in your analytical database
sponsored by TechTarget
RESOURCE: Inconsistencies in your data can disrupt your strategic business moves, prevent you from planning for the future, and limit your ability to prescribe swift actions across your organization. Download this new e-guide and uncover 13 common data quality management problems and gain expert advice on how to mitigate them for optimal DB performance.
Posted: 03 May 2017 | Published: 21 Feb 2014

TechTarget

The currency of trust: why banks and insurers must make customer data safer and more secure
sponsored by ComputerWeekly.com
RESEARCH CONTENT: Banks and insurers enjoy a significantly higher level of trust from consumers in the cyber security of their systems than any other sector, but the financial services industry is less confident in its ability to detect security breaches, this report from Capgemini reveals.
Posted: 25 Apr 2017 | Published: 25 Apr 2017

ComputerWeekly.com

Improve Your Self-Service Analytics Credibility with Data Quality
sponsored by Pyramid Analytics
WHITE PAPER: In the journey to become more data-driven in decision making, companies seek unprecedented democratization of data and adoption of self-service analytics. But inaccurate data undermines the powerful value of self-service analytics, so you must be sure you data quality is up-to-par. Learn common data quality issues and how to prevent them.
Posted: 24 Apr 2017 | Published: 24 Apr 2017

Pyramid Analytics

Data Governance: Necessary For Competitive Advantage
sponsored by Collibra
EBOOK: Data governance is an aspirin: It helps ease the pain that a specific problem, like an upcoming regulatory deadline, causes. It's also a vitamin: Necessary to keep your organization working like a well-oiled machine. Learn about how to further enhance the data governance at your organization to make it truly healthy.
Posted: 21 Apr 2017 | Published: 21 Apr 2017

Collibra

Deloitte Tech Trends 2017
sponsored by ComputerWeekly.com
RESEARCH CONTENT: Deloitte's annual Tech Trends report identifies the critical developments that are likely to disrupt UK and global businesses in the next 18 to 24 months
Posted: 20 Apr 2017 | Published: 20 Apr 2017

ComputerWeekly.com

Data Discovery Governance: 7 Best Practices
sponsored by Yellowfin
WHITE PAPER: Typically, traditional BI environments have been all about IT, and slow to product the types of reporting business users need. To get around this, self-service data discovery was born. But what about data security and access? Inside, learn 7 best practices for implementing successful data discovery governance.
Posted: 14 Apr 2017 | Published: 14 Apr 2017

Yellowfin

The 3 Building Blocks of a Successful Data Governance Business Case
sponsored by Collibra
EBOOK: The world of data is growing fast – 90% of the world's data was created in the past 2 years alone. But as the volume of data grows, so do the challenges of keeping it timely, accurate and trustworthy. Learn the 3 key building blocks of a successful data governance business case, so you can begin your data governance initiative on the right foot.
Posted: 06 Apr 2017 | Published: 06 Apr 2017

Collibra

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

The Unrealized Promise of Analytics (And How Data Governance Can Help)
sponsored by Collibra
EBOOK: Discover how businesses can succeed with analytics by leveraging data governance. Learn how to create effective BI and analytics strategies and uncover 3 big data housekeeping measures you can't overlook as well as how to overcome 5 challenges to manage data overload.
Posted: 05 Apr 2017 | Published: 05 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

5 Things to Focus On for Faster MDM Results
sponsored by Information Builders
WHITE PAPER: This paper highlights 5 MDM essentials that incorporate people, processes, technology, and information. Uncover details about data integration, data quality, and 3 more essential elements.
Posted: 20 Mar 2017 | Published: 20 Mar 2017

Information Builders

Data Discovery and Governance: Benefits, Challenges, and Guidelines
sponsored by Information Builders
WHITE PAPER: Discover ways to have more confidence in the data that you rely on for planning and decision-making. Learn about the benefits of governance in this white paper.
Posted: 15 Mar 2017 | Published: 15 Mar 2017

Information Builders

Stay on Top of Data Processes to Unlock More Big Data Value
sponsored by Infogix
EGUIDE: With the ever-increasing volume of big data, it's imperative that your company stays on top of data governance and preparation processes. In this expert e-guide, learn how to unlock greater value from big data. Plus, discover how Nationwide Mutual Insurance Co. realized great value and benefits from their finance data governance initiative.
Posted: 16 Jun 2017 | Published: 14 Jun 2017

Infogix

Good Data Governance Programs: Why the Urgency?
sponsored by SearchDataManagement
EZINE: Companies aren't gaining enough value from big data. That's why there's a greater need to establish data handling policies and procedures that only good data governance programs can provide. Explore good use vs. abuse of customer data (Wells Fargo, Target, and Bank of America), 4 data governance concerns and best practices, and much more.
Posted: 13 Jun 2017 | Published: 06 Jun 2017

SearchDataManagement

5-Step Data Quality Framework For Data In Motion
sponsored by Infogix
WHITE PAPER: 6 out of 10 users don't trust their data – and this is all the more strengthened when data is flowing through a myriad of systems prior to analysis. The truth is, if your data is in motion, you may have data quality issues. Learn a 5-step data quality framework for data in motion.
Posted: 15 May 2017 | Published: 15 May 2017

Infogix

Data Governance and Data Integrity: What's the Real Cost of Bad Data?
sponsored by Infogix
RESEARCH CONTENT: 80% of insurers identified as having issues with customer data in a recent survey. Inside this research report, discover the impact of poor or inconsistent data, the priority of these issues amongst your peers, and some potential strategies for taking steps to better data integrity.
Posted: 12 May 2017 | Published: 12 May 2017

Infogix

The Real Cost of Bad Data: 6 Simple Steps to Address Data Quality Issues
sponsored by Information Builders
WHITE PAPER: For IT to handle data issues, organizations must view data quality as an on-going strategy. Access this white paper to discover 6 simple, yet highly effective steps for preventing and fixing bad data.
Posted: 21 Mar 2017 | Published: 21 Mar 2017

Information Builders

MDM: 5 Steps to Implementing a Successful Program
sponsored by Triniti
EGUIDE: Companies will typically begin MDM efforts in one domain area before expanding to a multi-domain program model. When taking the multi-domain leap, it's critical to keep key elements in mind. In an excerpt from a MDM book, experts explain how to identify MDM domains and your master data. Plus, learn 5 steps to implementing a MDM program.
Posted: 20 Mar 2017 | Published: 13 Mar 2017

Triniti
51 - 75 of 623 Matches Previous Page    1 2 3 4 5 6    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 - 2017, TechTarget | Read our Privacy Statement