Data Management Strategies for the CIOEmail Alerts
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Microsoft SQL Server data profiling tool put to work
Andy Hogg demonstrates how to clean up dirty data with the data profiling tool that comes with Microsoft SQL Server Tip
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Hindsight: The case of the faulty data quality process
The discovery of discrepancies in a telecom company's data led to a realization that more robust procedures for ensuring data quality were needed. Feature
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How clean is your data?
Within a transactional system, data rarely appears to be anything other than squeaky clean. Find out why data is dirty, and how to see the dirt Tip
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Data quality essential to master data management
It is possible to have a data quality initiative without master data management, but every MDM project must have a data quality element Column
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Internal data quality standards not just a game for business users
Ensuring that business users follow corporate standards when entering and updating data is vital to the success of data quality improvement efforts. News Analysis
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Data quality training sets stage for business-user involvement
Organizations looking to include end users in data quality improvement efforts need to invest up front in developing effective training programs. News Analysis
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IT fix-it approach not enough for effective data quality strategy
Relying on data warehousing and integration teams to clean up data errors is a common practice. But preventing data quality problems is better than trying to cure systems of them later on. From the Editors
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Top-to-bottom data quality plan starts with selling execs on need
To win approval for involving business users in data quality efforts, IT managers should draw a connection between accurate data and the bottom line. News Analysis
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Data quality process needs all hands on deck
Data accuracy is critical in technology-driven business processes, making it a must to involve business users in data quality efforts, analysts say. News Analysis
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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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British Army data quality programme tackles ‘whole army’ concept
The British Army’s data quality programme faces a challenge with moves to unify regular and territorial soldiers into one force Case study | 01 May 2013
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Informatica looks up, despite down year in 2012
TechTarget's Wayne Eckerson reflects on Informatica after briefings with company execs. His take: It's poised to join the ranks of elite vendors. Blog Post | 08 Mar 2013
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West Midlands Police develops golden view of criminals, suspects
West Midlands Police, the second largest force in the UK, seeks to reduce risk to its officers and the public by using DataFlux software that gives a master record for criminals and suspects Case study | 01 Nov 2012
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People, process issues offer path to improve data quality on the cheap
Educating end users and upgrading internal processes can help enterprises fix data quality problems without dropping a ton of cash, analysts say. 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
- See more News on Data quality management software
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Five steps to an improved data quality assurance plan
Consultant David Loshin offers tips on developing a data quality strategy that can help identify data errors before they cause big business problems. Tip
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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, a... 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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Five steps to an improved data quality assurance plan
Consultant David Loshin offers tips on developing a data quality strategy that can help identify data errors before they cause big business problems. Tip
-
British Army data quality programme tackles ‘whole army’ concept
The British Army’s data quality programme faces a challenge with moves to unify regular and territorial soldiers into one force Case study
-
Microsoft SQL Server data profiling tool put to work
Andy Hogg demonstrates how to clean up dirty data with the data profiling tool that comes with Microsoft SQL Server Tip
-
Informatica looks up, despite down year in 2012
TechTarget's Wayne Eckerson reflects on Informatica after briefings with company execs. His take: It's poised to join the ranks of elite vendors. Blog Post
-
Hindsight: The case of the faulty data quality process
The discovery of discrepancies in a telecom company's data led to a realization that more robust procedures for ensuring data quality were needed. Feature
-
How clean is your data?
Within a transactional system, data rarely appears to be anything other than squeaky clean. Find out why data is dirty, and how to see the dirt Tip
-
Data quality essential to master data management
It is possible to have a data quality initiative without master data management, but every MDM project must have a data quality element Column
-
West Midlands Police develops golden view of criminals, suspects
West Midlands Police, the second largest force in the UK, seeks to reduce risk to its officers and the public by using DataFlux software that gives a master record for criminals and suspects Case study
-
Internal data quality standards not just a game for business users
Ensuring that business users follow corporate standards when entering and updating data is vital to the success of data quality improvement efforts. News Analysis
-
Data quality training sets stage for business-user involvement
Organizations looking to include end users in data quality improvement efforts need to invest up front in developing effective training programs. News Analysis
- 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.