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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 QualityReports
176 - 200 of 461 Matches Previous Page  | Next Page
Keep Up with Compliance Changes Through Proactive Records Management
sponsored by Iron Mountain
EGUIDE: Records management has become the go to solution for companies looking to meet compliance requirements. However, it is critical that the quality and integrity of the data is reliable. This expert e-guide provides best practices for maintaining compliant records management and warns against components that can compromise your strategy.
Posted: 13 Mar 2012 | Published: 13 Mar 2012

Iron Mountain

Handle Your Data Retention and Governance Programs With Care
sponsored by Iron Mountain
EGUIDE: This expert e-guide explores the existing conditions that should spur the creation of a data governance initiative as well as the teams that should be involved in building it. Read this now and also gain a clear understanding of why data retention is imperative to your business and why it deserves the utmost attention from the proper stakeholders.
Posted: 13 Mar 2012 | Published: 13 Mar 2012

Iron Mountain

SQL Server Insider E-Zine - Issue 3, Volume 1
sponsored by SearchSQLServer.com
EZINE: Everyone knows SQL and NoSQL technologies don't co-exist well. But can they? Check out Issue 3 of SQL Server Insider E-Zine to find out about the mysterious Microsoft project that aims to wed these two database types. Then, delve into the business intelligence (BI) features in SQL Server 2012, including reporting, analytics and data quality.
Posted: 16 Mar 2012 | Published: 16 Mar 2012

SearchSQLServer.com

Building a Tangible ROI for Data Quality
sponsored by Harte-Hanks Trillium Software
WHITE PAPER: This white paper covers common issues and recommendations on building a business case for data quality initiatives.
Posted: 13 Mar 2012 | Published: 13 Mar 2012

Harte-Hanks Trillium Software

SearchBusinessAnalytics.com E-Guide: Implementing Self-Service BI
sponsored by Jaspersoft
EGUIDE: In this E-Guide, readers will learn some of the key mistakes companies make when implementing self-service BI, as well as how to avoid these with an eight-step model.
Posted: 12 Mar 2012 | Published: 12 Mar 2012

Jaspersoft

Tip Guide: Skills shortage, training present pitfalls for 'big data' analytics
sponsored by Sybase, an SAP company
EGUIDE: Big data analytics may be all the hype, but the technology involved is still rather raw and non-user-friendly. Experts are also in scarce supply. Read this expert tip guide to learn about current training challenges involved in emerging analytics strategies and also gain insight into how one company is handling such obligations.
Posted: 29 Feb 2012 | Published: 29 Feb 2012

Sybase, an SAP company

SearchBusinessAnalytics E-Guide: Real-world big data strategies for analytics
sponsored by Sybase, an SAP company
EGUIDE: This expert e-guide will examine the challenges big data poses for traditional analytics approaches and insight from TDWI attendees on their feedback on the big data phenomenon.
Posted: 28 Feb 2012 | Published: 28 Feb 2012

Sybase, an SAP company

SearchBusinessAnalytics E-Guide: The growing role of the data scientist
sponsored by Sybase, an SAP company
EGUIDE: In this two-part interview, SearchBusinessAnalytics.com editor Nicole Laskowski will explore how data scientists are using predictive analytics to shed light on the future.
Posted: 28 Feb 2012 | Published: 28 Feb 2012

Sybase, an SAP company

Tip Guide: In an age of predictive analytics, data scientists help bridge the gap
sponsored by Sybase, an SAP company
EGUIDE: In the current business intelligence (BI) and analytics market new roles are being established to help organizations manage rapidly growing volumes of data. In this tip guide readers will learn how data scientists are using predictive analytics to shed light on the future.
Posted: 28 Feb 2012 | Published: 28 Feb 2012

Sybase, an SAP company

Understanding Big Data: Analytics to Enterprise Class Hadoop and Streaming Data
sponsored by IBM
EBOOK: This comprehensive white paper delves into the world of big data technologies, such as Hadoop, and how to extend it into an enterprise-ready big data platform. It discusses everything related to big data, including common challenges and patterns that exist, and concludes with a chapter on big data analytics with real-world success stories.
Posted: 22 Feb 2012 | Published: 22 Feb 2012

IBM

BI Trends and Strategies E-Zine Issue 2
sponsored by Dell, Inc.
EZINE: The second edition of BI Trends & Strategies, an e-zine offering advice on business intelligence (BI), analytics and data warehousing, explores whether or not it's the end of enterprise data warehouses as we know them, how to manage multiple business intelligence (BI) tools at once and the potential uses of data virtualization tools.
Posted: 14 Feb 2012 | Published: 10 Feb 2012

Dell, Inc.

Hardest Problems in Data Management
sponsored by VMware, Inc.
WHITE PAPER: Read this paper to learn how to enable a fast, scalable, fault-tolerant distributed foundation for data management that runs dynamically across the many-machine, many-core, memory-based computing topologies that today's organizations are assembling from existing IT resources and pay-as-you-go clouds.
Posted: 10 Feb 2012 | Published: 10 Feb 2012

VMware, Inc.

E-Guide: The Importance of Data Modeling Software
sponsored by CA ERwin from CA Technologies
EGUIDE: In this e-guide, you will find out why the experts think data modeling is an important part of enterprise data management and why business users often need to be convinced that data modeling is something they should care about.
Posted: 09 Feb 2012 | Published: 09 Feb 2012

CA ERwin from CA Technologies

Accelerating the Speed of Intelligence for Fast and Flexible Forecasting
sponsored by SAP America, Inc.
WHITE PAPER: Based on interviews with CFOs and senior finance executives at six leading international companies, this report presents the strategies they are using to infuse flexibility into their planning, budgeting, and forecasting processes in order to detect and address the constantly changing market realities of today's stubbornly volatile global economy.
Posted: 02 Feb 2012 | Published: 30 Sep 2011

SAP America, Inc.

Powerful, Affordable BI for Midsize Companies
sponsored by SAP America, Inc.
WHITE PAPER: Too often, business intelligence (BI) initiatives end up being detrimental to a business. They can be costly and highly complex, and often are integrated loosely— or not at all— causing data quality to plummet. Read this paper to discover a BI alternative that provides fast, cost-effective integration across SAP and non-SAP systems.
Posted: 01 Feb 2012 | Published: 31 Dec 2011

SAP America, Inc.

New Possibilities for Your Business with the World’s Fastest Database Machine
sponsored by Oracle Corporation
WHITE PAPER: Read this white paper now and learn how Oracle Exadata Database Machine addresses the needs of today’s businesses with extreme performance for enterprise data warehousing, online transaction processing (OLTP) and mixed workloads.
Posted: 01 Feb 2012 | Published: 01 Feb 2012

Oracle Corporation

Business Intelligence: The Definitive Guide for Midsize Organizations
sponsored by SAP America, Inc.
WHITE PAPER: This white paper breaks down the spectrum of business intelligence (BI) tools into specific functionalities and explains how they can be practically applied by midsized organizations to improve decision-making. Read it to learn what you need to know to get started with a BI implementation.
Posted: 31 Jan 2012 | Published: 31 Jan 2008

SAP America, Inc.

BI Trends and Strategies E-Zine Issue 1
sponsored by SearchBusinessAnalytics
EZINE: The inaugural issue of BI Trends & Strategies offers sound advice to help you in ensuring your organization is on track to keep up with the rapidly changing landscape of BI and analytics. In this issue, readers will learn about a big data definition and the impact it will have on BI and data warehousing, agile development methodology and more.
Posted: 27 Jan 2012 | Published: 27 Jan 2012

SearchBusinessAnalytics

Speeding up BI and analytics: Real-time analytics business cases and challenges
sponsored by Starview Inc.
EBOOK: This e-book offers IT, business intelligence (BI) and analytics managers tips on building a business case for real-time analytics and also for avoiding potential pitfalls that can trip you up during the implementation stage.
Posted: 26 Jan 2012 | Published: 26 Jan 2012

Starview Inc.

Data Warehousing 2.0- Modeling and Metadata Strategies for Next Generation Architectures
sponsored by Embarcadero Technologies, Inc.
WHITE PAPER: Read this white paper and learn how the data warehouse, metadata and modeling environment will be transformed in the next few years — and what you need to do to leverage it for your business, the major components of DW 2.0 architectures, and key modeling and metadata management strategies for DW 2.0.
Posted: 26 Jan 2012 | Published: 19 Jan 2012

Embarcadero Technologies, Inc.

IBM Cognos Business Intelligence supports sales and business management with decision-making insight
sponsored by IBM
WHITE PAPER: Learn what happened when KDG Mediatech AG needed a centralized reporting solution to provide users in sales, controlling and business management with up-to-date and consistent decision making insights.
Posted: 24 Jan 2012 | Published: 24 Jan 2012

IBM

Business Analytics – Pushing Toward Relevance
sponsored by IBM
WHITE PAPER: Learn how IT can improve its overall contribution to business innovation with an action-oriented business intelligence (BI) and analytics strategy.
Posted: 24 Jan 2012 | Published: 24 Jan 2012

IBM

UCHC Leverages Enterprise Job Scheduling to Automate Data Integration Processes
sponsored by Cisco Systems, Inc.
CASE STUDY: Thinking of launching a data warehousing project? Learn how the University of Connecticut Health Center (UCHC), a leading biomedical research center, healthcare facility, and medical school, achieved end-to end automation of data integration and data loading processes from internal and external data sources to ensure consistent, accurate reporting.
Posted: 24 Jan 2012 | Published: 24 Jan 2012

Cisco Systems, Inc.

Leading Interactive Games Designer Accelerates Business Intelligence Program
sponsored by Cisco Systems, Inc.
WHITE PAPER: In this white paper, Rajesh K. Gupta, Electronic Arts' senior manager of applications for business intelligence (BI) and data services, explains how EA avoids many costly problems due to timely data access. Read this now to gain insight into how EA deployed job scheduling software and what benefits it reaped by doing so.
Posted: 20 Jan 2012 | Published: 20 Jan 2012

Cisco Systems, Inc.

Best practices for planning for data integration process
sponsored by IBM
EGUIDE: Integrating data and planning a data integration process can be difficult for any organization. In this brief yet informative e-guide, readers will learn standard methods and best practices, such as implementing a data profiling program as a production process, to ensure a successful transition.
Posted: 13 Jan 2012 | Published: 13 Jan 2012

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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