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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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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 challenging roadblocks in terms of speed, accuracy, accessibility, operationalization, and more 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

Roundtable: How Financial Firms Can Improve Data Quality
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

A Foundational Methodology for Data Science
sponsored by IBM
WHITE PAPER: You need a guiding strategy to capitalize on the emerging analytics technologies and rising data volumes. Learn 10 steps to help you get there. Gain the actionable insights you need to make smart decisions using the right business understanding, analytical approach, data requirements, and more.
Posted: 17 Aug 2016 | Published: 17 Aug 2016

IBM

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

Open Source Machine Learning: The Next Wave of Intelligent Applications
sponsored by IBM
WHITE PAPER: Open source tools are reshaping the potential of data management with machine learning. Learn now about ways in-memory compute engines can unify developers, data scientists and data engineers in a user-friendly format.
Posted: 16 Aug 2016 | Published: 16 Aug 2016

IBM

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 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 has (and 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

The 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: 02 Aug 2016 | Published: 26 Apr 2016

Trillium Software

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: 01 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

Information Lifecycle Governance Maturity Assessment
sponsored by IBM
RESOURCE: Increasing storage and maintenance costs, duplication of resources, the lack of trusted content, and exposure to risks and litigation are problems plaguing many enterprises today. So why are companies holding on to every bit of data? Take this assessment to determine your level of information governance maturity and see how much more you can grow.
Posted: 26 Jul 2016 | Published: 26 Jul 2016

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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