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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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How To Tackle Data Governance Challenges and Big Data Management Troubles
sponsored by IBM
RESEARCH CONTENT: Increased data growth has created an unstructured data nightmare. To effectively manage data growth and security, information managers will need to deploy the right tools, and educate employees on how to overcome instinctual data hoarding. In this white paper featuring Gartner research, discover 3 challenges to curb unstructured data neglect.
Posted: 10 Feb 2017 | Published: 01 Feb 2017

IBM

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

Ensure A Safe, Successful Move To The Cloud With A Good Information Governance Plan
sponsored by IBM
WHITE PAPER: The benefits of moving data to the cloud are numerous, but doing so without an information governance plan in place can cause more problems than it solves. In this white paper, learn how you can create an effective information governance methodology and increase your success of migrating safely to the cloud.
Posted: 06 Feb 2017 | Published: 06 Feb 2017

IBM

Bringing The Power Of Hadoop To Your Organization Effectively
sponsored by SAS
WHITE PAPER: TDWI reported that 51% of organizations expected to have a Hadoop implementation in 2016. With such a prevalence of Hadoop, you should be thinking about how to integrate this ecosystem with your data management, discovery, and analytics technology. In this white paper, discover an overview of the benefits, limitations and more of Hadoop.
Posted: 06 Feb 2017 | Published: 06 Feb 2017

SAS

Are You A Customer Insight Genius? Learn Where Your Company Lies On The Customer Analytics Spectrum
sponsored by Microsoft
RESEARCH CONTENT: Customer analytics helps insights-driven businesses understand their customers and drive growth. But do you know where your business falls within Forrester's customer analytics maturity model? Use the self-assessment in this Forrester report to determine where your organization lies within the customer insights spectrum.
Posted: 06 Feb 2017 | Published: 07 Oct 2016

Microsoft

Research Report: How Data-Driven Organizations Are Managing and Using Data Effectively
sponsored by SAS
RESEARCH CONTENT: Data is the fuel for success across all industries and sectors. But manycompanies struggle to put in place a coherent strategy to really get the mostout of their data. In this research report, discover how senior decision-makers across both the public and private sectors manage and use their data to drive effective business decisions.
Posted: 03 Feb 2017 | Published: 03 Feb 2017

SAS

Are we trusting social networks too much?
sponsored by ComputerWeekly.com
ESSENTIAL GUIDE: This article in our Royal Holloway Security Series sheds an often uncomfortable light on the privacy risks people incur by using social media, and offers advice on how to minimise those risks
Posted: 31 Jan 2017 | Published: 31 Jan 2017

ComputerWeekly.com

How To Use Data Visualization to Create a Data-Driven Organization
sponsored by Zoomdata
WHITE PAPER: A data-driven organization uses data to tell an effective story, and one way to do so is by using data visualization to your advantage. In this e-book chapter, you'll learn how to craft a compelling portrait using data. Find 3 keys to creating a successful, visual data presentation, discover the main goals your data should serve, and more.
Posted: 25 Jan 2017 | Published: 20 Jul 2015

Zoomdata

Are you one eDiscovery away from a budgetary meltdown?
sponsored by ComputerWeekly.com
ANALYST REPORT: Using an online object storage platform with global namespaces can provide full data protection, high availability and easily managed eDiscovery in a way that fully supports the business, say analysts Clive Longbottom and Marcus Austin.
Posted: 25 Jan 2017 | Published: 25 Jan 2017

ComputerWeekly.com

Business value key to data governance software selection
sponsored by SearchDataManagement
EBOOK: Data governance software evaluation and selection encompass several critical business considerations beyond features and functionality.
Posted: 12 Jan 2017 | Published: 06 Jan 2017

SearchDataManagement

Data Preparation: How To Prepare For BI Success
sponsored by Yellowfin
WHITE PAPER: Discover how a built-in data preparation module can eliminate the cost of using two BI products, and reduce integration challenges. Then, learn about how you can leverage a metadata layer in your BI so that any changes made will be uniformly reflected across all content, and more.
Posted: 29 Nov 2016 | Published: 29 Nov 2016

Yellowfin

The Future of Model Risk Management for Financial Services Firms
sponsored by SAS
WHITE PAPER: This white paper covers the current state of model risk management (MRM) for financial firms, as well as posits some ideas about what the future of financial modeling is going to look like. Inside you'll learn about the impact that new regulatory developments for banks has had on MRM, 5 important new features of modeling technology, and more.
Posted: 10 Nov 2016 | Published: 10 Nov 2016

SAS

A Path to Good Risk Taking Through Data Analytics
sponsored by SAS
WHITE PAPER: This white paper explores the strategic benefit of making analytics an integral part of your risk management plan. Inside, learn 11 principles for enhancing risk management and the way banks are currently leveraging analytics for risk assessment. You'll also find some risk management success stories.
Posted: 10 Nov 2016 | Published: 10 Nov 2016

SAS

Best Practices for Modernizing Enterprise Decision Making
sponsored by SAS
WHITE PAPER: In this resource, 3 professors share insights and best practices for improving your organization's data-informed decision making. Discover the importance of visualizing data, tailoring analytics reports to meet specific needs, cultivating a culture of data-informed decision making, and more.
Posted: 08 Nov 2016 | Published: 08 Nov 2016

SAS

Unleash Transformational Business Change by Modernizing Your Database Technology Platform
sponsored by Cintra/Oracle
WHITE PAPER: Access this white paper to learn why many organizations struggle to develop an integrated technology strategy, and how a strong Oracle database could drive your company's digital transformation. Inside learn the quantifiable benefits of moving to a hyper-converged platform, a strategy for modernizing your Oracle database, and more.
Posted: 07 Nov 2016 | Published: 07 Nov 2016

Cintra/Oracle

Gaining Support for ITAM: Improve IT Operations Through Data Curation
sponsored by BDNA
VIDEO: Tune into this webinar to learn how to enforce enterprise-wide data consistency and improve IT operations with robust ITAM that transforms multi-source data into actionable business insight.
Posted: 03 Nov 2016 | Premiered: 31 Jul 2016

BDNA

Getting a Grip on Content: Empowered Content Collaboration in the Cloud
sponsored by IBM
RESOURCE: Access this resource for insight into how collaboration capabilities can turn content into a competitive advantage and striking the balance between content security and access. Additionally, discover resource requirements for deploying an ECM tool, and learn more about cloud-based content management implementation.
Posted: 19 Oct 2016 | Published: 31 Dec 2015

IBM

Machine Data Analytics Drives the Success of DevOps
sponsored by Splunk
WHITE PAPER: This white paper explores how a consolidated data analytics platform based around the use of machine data can help you foster an agile and responsive DevOps culture. Discover how you can create a tight feedback loop that measures, reports, and ultimately, demonstrates the success of DevOps.
Posted: 14 Oct 2016 | Published: 14 Oct 2016

Splunk

Managing A Strong Data Governance Program
sponsored by TechTarget
RESOURCE: Developing a successful data governance strategy requires careful planning, the right people and appropriate tools and technologies. In this expert guide, Data Governance 101: Build Your Program, explore best practices for managing data governance projects, the role of data stewards and the benefits of adopting data stewardship programs.
Posted: 04 Oct 2016 | Published: 04 Oct 2016

TechTarget

Analyst Report: Data Quality Tools
sponsored by Trillium Software
RESEARCH CONTENT: Access the report to learn how a leading data quality solution can help you achieve your long-term strategic objectives.
Posted: 02 Dec 2016 | Published: 23 Nov 2016

Trillium Software

Strategies For Effective Big Data Governance And Supporting Analytics Programs
sponsored by IBM
EGUIDE: Governing large and varied sets of big data is difficult. In this expert e-guide, Dr. Anne Smith, Principal Consultant at Alabama Yankee Systems, LLC reveals 7 best practices for instituting effective policies for governing sets of big data. Plus, learn how a solid data governance plan sows the seeds for a successful self-service analytics program.
Posted: 02 Dec 2016 | Published: 02 Dec 2016

IBM

Clean Data in Cloud Analytics Removes The Divide Between User and Data
sponsored by SAP
EGUIDE: In this expert e-guide, learn how cloud analytics removes the barrier between business workers and important data. Discover why you should use only quality data in your cloud analytics, and how software platform company ServiceChannel eased the burden on their IT department by deploying a cloud BI platform.
Posted: 02 Nov 2016 | Published: 02 Nov 2016

SAP

Taking Your Enterprise Data Governance Plan Up a Notch
sponsored by Veritas
EGUIDE: In this expert e-guide, we explore how to create an enterprise data governance framework. Uncover some strategic best practices for big data governance so that you can boost data quality and prevent critical inconsistencies.
Posted: 10 Oct 2016 | Published: 05 Oct 2016

Veritas

How to Narrow Down Your Choices for Buying a Data Governance Tool
sponsored by Veritas
EGUIDE: In this expert e-guide, we explore key evaluation factors for selecting the right data governance tool to suit the needs of your organization. Find out which metrics matter most when it comes to picking your tool, like handling metadata objects, managing data quality, addressing unstructured data, and more.
Posted: 10 Oct 2016 | Published: 05 Oct 2016

Veritas

How To Know If Your Organization Is Ready For Data Governance Software
sponsored by Veritas
EGUIDE: It's important to ensure your organization is ready for a governance tool, or your software purchase is likely to fall flat. This e-guide takes a look at three different scenarios where data governance tools are often used to help you determine if your organization is ready for data governance software.
Posted: 10 Oct 2016 | Published: 05 Oct 2016

Veritas
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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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