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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 QualityWhite Papers (View All Report Types)
151 - 175 of 266 Matches Previous Page  | Next Page
Top 10 Root Causes of Data Quality Problems
sponsored by Talend
WHITE PAPER: This white paper discusses the top ten root causes of data quality problems and suggests steps the business can implement to prevent them.
Posted: 01 Aug 2011 | Published: 01 Aug 2011

Talend

E-Guide: Storage Tuned for Virtual Environments
sponsored by Hewlett-Packard Company
WHITE PAPER: Check out this SearchStorage.com E-Guide to hear all about this technology update from HP and what the experts have to say.
Posted: 24 Aug 2011 | Published: 24 Aug 2011

Hewlett-Packard Company

Lose the Middleware Blues with Oracle Data Integration Technology. Why Innovators Choose Oracle over IBM
sponsored by Oracle Corporation
WHITE PAPER: This white paper compares Oracle’s data integration solutions with IBM’s offering; with attention to cost of ownership, performance, flexibility, reliability, and ease of use.
Posted: 18 Aug 2011 | Published: 31 May 2011

Oracle Corporation

Oracle Database 11g Release 2 for Data Warehousing and Business Intelligence
sponsored by Oracle Corporation
WHITE PAPER: This white paper provides an overview of Oracle's capabilities for data warehousing, and discusses the key features and technologies by which Oracle-based business intelligence and data warehouse systems easily integrate information, perform fast queries, scale to very large data volumes and analyze any data.
Posted: 05 Aug 2011 | Published: 05 Aug 2011

Oracle Corporation

Incorporating Master Data Governance into Business Processes
sponsored by SAP America, Inc.
WHITE PAPER: This white paper looks at common problems experienced by MDM programs. Inside, learn how coupling MDM with business process management (BPM) can help provide greater governance and success for MDM programs.
Posted: 01 Aug 2011 | Published: 01 Aug 2011

SAP America, Inc.

Treating Data as an Enterprise Asset to Achieve Business Value
sponsored by IBM
WHITE PAPER: This paper explores how Telecoms who apply information governance to solve business problems and service significant events in a similar manner can recognize significant return. Learn how information governance can help Telecom's improve the quality and reliability of data to increase profitability, reduce unnecessary costs and risks.
Posted: 27 Jul 2011 | Published: 27 Jul 2011

IBM

Driving successful business transformation: Persistent organizational excellence with IBM Ready-to-Launch for SAP applications
sponsored by IBM
WHITE PAPER: In this white paper, you'll uncover how to drive a successful business transformation. Learn how to improve your data quality while reducing the risk of delays in business-critical SAP projects.
Posted: 27 Jul 2011 | Published: 27 Jul 2011

IBM

Threat and Fraud Prevention
sponsored by IBM
WHITE PAPER: This white paper explores these features, and the challenges that organizations face related to making sense of information in order to revolutionize their ability to mitigate threat and fraud.
Posted: 26 Jul 2011 | Published: 26 Jul 2011

IBM

Manage Rapid NAS Data Growth While Reducing Storage Footprint and Costs (Race)
sponsored by IBM
WHITE PAPER: Now that IT hasgotten a handle on server sprawl and the challenges that comewith data protection, it is time to deal with primary storagegrowth that is increasing at a rate faster than IT can manage. Click here to learn more on how IBM's Real-time Compression solutions can save you up to 80% in storage.
Posted: 15 Jul 2011 | Published: 15 Jul 2011

IBM

SAP Whitepaper: SAP In-Memory Computing Technology: Changing the Way Business Intelligence Is Managed
sponsored by SAP America, Inc.
WHITE PAPER: This white paper details how in-memory computing changes the way organizations can operate and gain value from their business intelligence (BI). Particularly, discover how this method can bring together online transaction processing (OLTP) applications and online analytical processing (OLAP) applications.
Posted: 20 May 2011 | Published: 17 May 2011

SAP America, Inc.

ERwin in the Cloud: How Data Modeling Supports Database as a Service (DaaS) Implementations
sponsored by CA ERwin from CA Technologies
WHITE PAPER: Cloud Computing is an emerging market, and there exist an increasing number of companies that are implementing the cloud model, products and services. Read this white paper to find out more about this exciting new technology.
Posted: 20 Apr 2011 | Published: 20 Apr 2011

CA ERwin from CA Technologies

Improving Data Quality Through Data Modeling
sponsored by CA ERwin from CA Technologies
WHITE PAPER: Enterprise data is largely falling short of a standard that makes it possible to utilize in how business will be conducted in the next decade. Most enterprise data is “adequate” for basic operational needs today. Download this paper to learn how to get the most out of your enterprise data.
Posted: 20 Apr 2011 | Published: 20 Apr 2011

CA ERwin from CA Technologies

Ten Things to Avoid in a Data Model
sponsored by CA ERwin from CA Technologies
WHITE PAPER: The construction of a data model is one of the more difficult tasks of software engineering and is often pivotal to the success or failure of a project. Many factors determine the effectiveness of a data model. In this white paper, industry expert Michael Blaha covers the Top 10 pitfalls to avoid - from both the strategy and detail perspective.
Posted: 20 Apr 2011 | Published: 20 Apr 2011

CA ERwin from CA Technologies

IBM InfoSphere DataStage Performance and Scalability Benchmark White Paper 
sponsored by IBM
WHITE PAPER: This paper highlights the performance and scalability potential of InfoSphere DataStage 8.1 based on a benchmark test simulating a data warehouse scenario. The benchmark is designed to use the profiled situation to provide insight about how InfoSphere DataStage addresses customers' key FAQs when designing their information integration architecture.
Posted: 24 Mar 2011 | Published: 24 Mar 2011

IBM

Help Alleviate Batch Windows with Reliable, Timely Data Delivery
sponsored by IBM
WHITE PAPER: This paper examines the business issues that drive organizations to consider a real-time change data capture solution to optimize ETL processes. This helps alleviate batch windows to enable the delivery of timely, trusted information to the business.
Posted: 24 Mar 2011 | Published: 24 Mar 2011

IBM

Delivering Information You Can Trust - The Benefits of Quality Data and IBM System z
sponsored by IBM
WHITE PAPER: This white paper provides an overview of the current data quality problem and describes how IBM® InfoSphere® Information Server for IBM System z® can become your foundation for data qualitty and make a big difference in helping you derive more value from the complex, heterogeneous information spread across your systems. 
Posted: 24 Mar 2011 | Published: 24 Mar 2011

IBM

Information Quality Management (IQM): Assessing Your IQM Practice
sponsored by Harte-Hanks Trillium Software
WHITE PAPER: Organizations are starting to see the connection between making information available and leveraging it to be more agile and productive. This paper offers a practical guide to assess your information quality maturity level, and provides a framework to align information quality management practices to business objectives and results.
Posted: 17 Mar 2011 | Published: 17 Mar 2011

Harte-Hanks Trillium Software

Solution Brief: IBM InfoSphere Optim Data Masking Solution
sponsored by IBM
WHITE PAPER: The IBM® InfoSphere™ Optim™ Data Masking solution provides comprehensive capabilities for masking sensitive data effectively across non-production environments, while still providing realistic data for use in development, testing or training. Read on to learn more.
Posted: 17 Mar 2011 | Published: 17 Mar 2011

IBM

SOA Best Practice Report - Governance Led Practices to Deliver Effective Semantic Integration
sponsored by Progress
WHITE PAPER: Poor quality data can spell disaster for SOA or BPM initiatives. Enterprise-wide data initiatives cross many boundaries, both technical and departmental, and are often high risk. This paper describes how a governance led approach can progressively deliver semantic integration with minimum short term cost, less complexity and reduced maintenance.
Posted: 11 Feb 2011 | Published: 11 Feb 2011

Progress

Advancing the Data Agenda: Roles and Responsibilities in the Data Quality Trenches
sponsored by DataFlux Corporation
WHITE PAPER: It is high-minded to observe that any data program requires a full partnership between business and IT. The real world is more mundane and far more demanding than that. Indeed, success with any data program depends on getting the right groups involved and assigning the right people the right roles and responsibilities. Read on to learn more.
Posted: 31 Jan 2011 | Published: 31 Jan 2011

DataFlux Corporation

The Information Agenda: Rapidly Leveraging Information as a Trusted Strategic Asset for Competitive Advantage
sponsored by IBM
WHITE PAPER: As the CIO of a flourishing business, you are happy to report that the current information projects are going well. The new call center is up and running, the new data warehouse is on-line, and the new customer loyalty systems have been deployed successfully.
Posted: 14 Dec 2010 | Published: 14 Dec 2010

IBM

Measuring the Business Impacts of Effective Data: Chapter One of a Three-Part Study
sponsored by Sybase, an SAP company
WHITE PAPER: This study of over 150 Fortune 1000 firms from every major industry or vertical explores issues associated with the lifeblood of today’s enterprises: data. The findings demonstrate the often dramatic impacts that even marginal investments in information technology can have when that technology addresses data quality, usability, and intelligence.
Posted: 02 Nov 2010 | Published: 02 Nov 2010

Sybase, an SAP company

Rethink Your Next Generation Business Intelligence Strategy
sponsored by IBM
WHITE PAPER: Ray Wang of The Altimeter Group explores the IT and business criteria organizations must consider when planning their next BI deployment.
Posted: 28 Oct 2010 | Published: 28 Jun 2010

IBM

Oracle Database 11g for Data Warehousing and Business Intelligence
sponsored by Oracle Corporation UK Ltd
WHITE PAPER: This white-paper provides an overview of Oracle Database 11g's capabilities for data warehousing, and discuses its key features and technologies. Discover how to integrate information, perform fast queries, scale to very large data volumes, and more.
Posted: 22 Oct 2010 | Published: 23 Sep 2009

Oracle Corporation UK Ltd

The Return on Investment (ROI) of Data Modeling
sponsored by CA ERwin from CA Technologies
WHITE PAPER: Without a clear understanding of the meaning and rules around this data, business decisions can be negatively affected. Data modeling is a time-proven method for understanding data, its interrelationships and its rules. Data management professionals have long understood the value of data modeling.
Posted: 19 Oct 2010 | Published: 01 Mar 2010

CA ERwin from CA Technologies
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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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