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Cloud data quality, integration open new vistas for managing data
Find out what opportunities the cloud could open up for data quality and integration. Advantages: scalability, reduced admin and costs. ETL, as a data quality sweet spot, lends itself to the cloud. Feature
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A guide to cloud data management technology and trends
This guide is designed to provide readers with practical information and advice on trends, issues and developments involving cloud database, data warehousing and data integration technology. null
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SearchDataManagement.com product directory library
These product directories are designed to provide information to assist organizations in evaluating and purchasing data management software. Our product directories contain basic information about vendors and products in four specific categories: dat... Product directory
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Data Quality Management Software Product Directory
Inside this data quality management software product directory you'll find basic information about the major vendors in the data quality market and the products they sell. Each listing is accompanied by a short description and a long description incl... Product directory
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Data quality issues management
Identifying data quality issues is only the first step in solving them. In this chapter, Jack Olson explains the need for a data quality assurance management system -- one that asesses the impact and causes of poor data quality. Chapter Download
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Data quality assurance
This chapter outlines the basic elements of a data quality assurance program. It focuses on data accuracy, a single dimension of data and information quality. Chapter Download
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Data quality guide
Here you'll find articles, white papers, advice and resources to help you better manage and leverage your company's data. From an introduction to data quality-related terms to understanding the innovations in tools and technology, this is your best r... Learning Guide
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Data quality strategy
Read this excerpt from Data Strategy written by Sid Adelman, Larissa Moss and Majid Abai to learn about data quality problems and the different types of dirty data. Chapter Download
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People, process issues offer path to improve data quality on the cheap
An emphasis on educating end users and upgrading internal processes can help enterprises fix data quality problems without dropping a ton of cash, according to analysts. News | 16 May 2012
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Intel offers up a 'silver bullet' master data management strategy
An IT manager at Intel Corp. sums up the chip maker's approach to managing master data in four words: Standardize, consolidate, optimize and utilize. News | 25 Apr 2012
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IBM users reveal five data governance best practices to remember
IBM customers Nationwide Insurance and Cardinal Health reveal five rules of thumb they learned while implementing highly ambitious data governance programs. News | 28 Mar 2012
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Data governance programs expose hills to climb on path to success
IT professionals from Sallie Mae and Fannie Mae offered insight on data governance challenges and tips on how to overcome them in separate sessions at two recent conferences. News | 08 Mar 2012
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Poor reference data management causing headaches in financial sector
Regulatory pressures and the need to improve data quality are forcing financial institutions to rethink their reference data management strategies. News | 13 Feb 2012
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Beta-tester evaluates the latest DataFlux data management software
An enterprise data architect with medical device maker SonoSite offers up details on the newest release of DataFlux’s flagship data management software platform. News | 28 Dec 2011
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IBM explains how to make the case for a data governance program in 2012
The director of information governance for IBM’s software group, Sunil Soares, explains how to make the business case for data governance despite ongoing economic concerns. News | 30 Nov 2011
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Data quality still a major hurdle for analytics programs
Attendees at SAS’ Analytics 2011 Conference Series said data quality is still creating some major headaches for analysts. News | 25 Oct 2011
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From the Editors: Oracle-vs.-SAP data quality vendor fight heats up
Increased competition for data quality market share is brewing between enterprise software rivals Oracle and SAP, says Gartner. Read about that and other recent data management news. From the Editor | 19 Oct 2011
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Gartner Magic Quadrant: Oracle and SAP prepare for data quality battle
Oracle is gradually catching up to its chief rival, SAP, in the race for data quality market dominance, according to Gartner. News | 28 Sep 2011
- See More: News on Data quality management software
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Data quality management tips and best practices
Get data quality management tips and best practices with expert advice and book excerpts. Learn about academic sources for data quality, key steps and common mistakes of data quality implementations, how much you should spend for data cleansing and m... Tip
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How to improve data quality on a tight budget -- a guide
Many organizations may be tempted to forgo data quality management to save money, but it's important to assess the ROI of high-quality data, according to consultant David Loshin. Tip
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Five steps for weaving data quality management into your enterprise data integration processes
Data quality management is critical for effective enterprise data integration (EDI). Expert Rick Sherman shares five strategic steps (and potential pitfalls) of data quality management. Tip
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Implementing data quality software but ignoring governance policies
Is it OK to implement data quality software but ignore your data governance policies? Learn more about the relationship between data quality software and governance processes. Answer
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Open source data quality software to help with name matching
Learn what to consider before adopting open source data quality software to help with identity resolution and name matching. Answer
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How often should you update your data quality strategy?
Learn how often companies should update their data quality strategy. See how changes in data quality problems create new challenges and how revising your data quality strategy can help. Answer
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Are the data quality issues worse in real-time data integration apps?
Find out if real-time data integration applications has more data quality issues than other approaches. Also, see if real-time or near-real-time integration are really useful. Answer
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Is open source data management software better than traditional tools?
Get a snapshot of the open source data management software vs. on-premise tools debate with advice from a systems expert, including creating policies for open source applications. Ask the Expert
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Should we buy data quality management tools or focus on policies?
Looking improve your data quality? Data quality management tools might not be the best answer. Find out why. Ask the Expert
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Data quality management tools: Where to get unbiased information
Find out where to go to get unbiased assessment and analysis of data quality management tools. Ask the Expert
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Data quality management pitfalls: Three common mistakes to avoid
Data quality expert David Loshin addresses three common data quality management mistakes to avoid. Read what areas to keep an eye on while implementing your data quality management initiative. Ask the Expert
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data governance (DG)
Data governance (DG) refers to the overall management of the availability, usability, integrity, and security of the data employed in an enterprise. A sound data governance program includes a governing body or council, a defined set of procedures, an... Definition
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data quality
In computing, data quality is the reliability and application efficiency of data, particularly when kept in a data warehouse. Data quality assurance (DQA) is the process of verifying the reliability and efficiency of data. Definition
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Top six data management software stories of 2011
From the rise of "big data" to office politics hampering MDM projects to Hewlett-Packard giving Neoview the ax, and more, there were plenty of notable data management stories in 2011. Photo Story
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Leveraging today’s cloud data management technology and tools
Learn about cloud data management, including how to decide if a cloud database or SaaS data quality and cloud data integration tools are a good fit for your organization. Podcast
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Best practices for data management system implementations
Find data management system implementations best practices in this podcast, including how to design an implementation plan and get advice from a project management expert on how to be successful with an implementation. Podcast
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Exec explains IBM's Information On Demand (IOD) initiative
Listen to IBM's Steve Mills discuss Big Blue's Information On Demand initiative and why he thinks it's in a better position to help customers than rival Oracle. Podcast
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Data quality assessment helps identify, fix data quality problems
Data quality problems can't be fixed until they are identified. Learn how a data quality assessment can help pinpoint data quality problems. Podcast
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How to develop and maintain an enterprise data quality management strategy, with Larry English
Expert Larry English discusses how to develop and maintain a data quality management strategy. Learn how to get started, structure teams, calculate ROI and get executive support. Podcasts
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Data quality trends, with expert Larry English
Data quality tools and processes have changed dramatically, so keep up with the latest data quality trends. Renowned expert Larry English provides timely advice for your data quality strategy. Podcasts
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People, process issues offer path to improve data quality on the cheap
An emphasis on educating end users and upgrading internal processes can help enterprises fix data quality problems without dropping a ton of cash, according to analysts. News
-
Intel offers up a 'silver bullet' master data management strategy
An IT manager at Intel Corp. sums up the chip maker's approach to managing master data in four words: Standardize, consolidate, optimize and utilize. News
-
IBM users reveal five data governance best practices to remember
IBM customers Nationwide Insurance and Cardinal Health reveal five rules of thumb they learned while implementing highly ambitious data governance programs. News
-
Data governance programs expose hills to climb on path to success
IT professionals from Sallie Mae and Fannie Mae offered insight on data governance challenges and tips on how to overcome them in separate sessions at two recent conferences. News
-
Cloud data quality, integration open new vistas for managing data
Find out what opportunities the cloud could open up for data quality and integration. Advantages: scalability, reduced admin and costs. ETL, as a data quality sweet spot, lends itself to the cloud. Feature
-
Top six data management software stories of 2011
From the rise of "big data" to office politics hampering MDM projects to Hewlett-Packard giving Neoview the ax, and more, there were plenty of notable data management stories in 2011. Photo Story
-
Poor reference data management causing headaches in financial sector
Regulatory pressures and the need to improve data quality are forcing financial institutions to rethink their reference data management strategies. News
-
Beta-tester evaluates the latest DataFlux data management software
An enterprise data architect with medical device maker SonoSite offers up details on the newest release of DataFlux’s flagship data management software platform. News
-
IBM explains how to make the case for a data governance program in 2012
The director of information governance for IBM’s software group, Sunil Soares, explains how to make the business case for data governance despite ongoing economic concerns. News
-
Data quality still a major hurdle for analytics programs
Attendees at SAS’ Analytics 2011 Conference Series said data quality is still creating some major headaches for analysts. News
- See More: All on Data quality management software
About Data quality management software
Get current information on data quality management software tools and find out more about the top ranked vendors. Find important information about data quality management market trends that could affect tool selections, and check out articles, analysis and interviews with leading experts and analyst firms such as Gartner and Forrester. Read case studies about how other companies use data quality assurance tools and learn how to evaluate data quality management software tools from leading experts.
Data Management Strategies for the CIO