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BI Masterminds 2013: Nominate for India’s top BI excellence awards
Nominate for ‘BI Masterminds 2013’, India’s Top Awards for Excellence in Business Intelligence. Let your BI work be recognized. Survey
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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. 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. Analysis
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Using a data quality strategy to benefit the bottom line
Learn how to determine a data quality strategy that is rigorous but business savvy. Feature
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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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'Big data' management debate: Buy tools now or fix data issues first?
Consultants and IT pros weigh in on whether users should invest in "big data" technologies or wait until they upgrade their data management processes. News | 16 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 tips on data governance challenges and how to overcome them at two conferences this month. News | 08 Mar 2012
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Enterprises jump into deep end with cloud data quality, now must learn to swim
Many enterprises deploying cloud-based applications don't appear to have plans in place to address issues such as data quality and data governance, according to a survey by Ventana Research. News | 15 Nov 2011
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From the Editor: Dos and don’ts of data governance best practices
When setting up your data governance policies it’s important to know what to do as well as what not to do. Learn more about data governance best practices and get dos and don’ts from industry experts. From the Editors | 23 Aug 2011
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Larry English offers tips for improving information quality processes
Information quality guru Larry English says the keys to improving quality include proactive monitoring and ferreting out the root cause of problems. News | 06 Jun 2011
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Execute data quality improvement projects with senior-level thinking
Executing data quality improvement projects is largely a matter of analysis, planning and learning how to work the system, say experts. News | 29 Sep 2010
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Gartner Magic Quadrant ranks data quality tools vendors
The best data quality software vendors offer platforms that combine data quality tools with data integration and MDM products, according to Gartner. News | 27 Aug 2010
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Fight data quality problems with business people, expert advises
Attacking the root of data quality problems means teaching non-IT workers to adopt new ways of thinking about information, says one expert. Q&A Interview | 27 Aug 2010
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Poor data quality costing companies millions of dollars annually
Despite increased adoption of data quality software, poor data quality costs the average company more than $8 million annually, according to a new survey from Gartner. Article | 27 Aug 2010
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Ensure data quality management during integration
Data quality management is the first and crucial step to data integration. Here are some tips to help maintain the data quality in your organization. Tip
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Data quality and Basel II: How organizations can overcome risks
Data quality and Basel II standard adherence are two sides of the same coin. So it’s time for Indian companies look at accuracy and completeness of data. Tip
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Data quality process management guidelines for your business
Managing the right data quality process can be tough. Here are four data quality management tips to help you along the way. Tip
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Data governance success: No pain, no gain
Data governance isn't easy, but it is necessary for success in data-centric projects. Rick Sherman commiserates and offers expert advice for getting started with data governance. 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 during a recession, but it is important to assess the ROI for managing data quality, according to industry expert 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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Data quality improvement questions answered
Data quality is the key that can open the door to reliable and intelligent reports. Learn how to improve data quality easily and effectively. Answer
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Estimating the cost of poor data quality and customer data cleansing
Estimating the cost of poor data quality can be a challenge. Read our expert's tips for estimating value of customer data cleansing and know how much dirty data is costing your company. Ask the Expert
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Can we enforce data integrity in a company to ensure accurate data?
Find out if companies can enforce data integrity to ensure data accuracy in internal reports and systems. Plus, learn how data interpretation can affect the use of accurate data. Ask the Expert
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Building a data quality business case: Issues with poor data quality
If you're trying to build a data quality business case, make sure you know common issues caused by poor data quality, with tips and advice from a project management expert. Ask the Expert
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Understanding five major enterprise information management benefits
Learn about the primary enterprise information management (EIM) benefits and five major problems EIM can help solve, including data quality, information management, process efficiency, security and organizational agility. Ask the Expert
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How to estimate customer data cleansing costs
How much on average does it cost to clean one customer record? Do you know if there been any specific reporting or analysis done on this area of customer data quality? Ask the Expert
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Data quality management for data warehouses
Learn how to evaluate the risks of poor data quality in data warehouses -- and how good data quality management practices help mitigate risks. Ask the Expert
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Resolving data ownership issues with external funders, organizations
What rights do funders have over data ownership? Get an expert's take on this data ownership issue. The answer might surprise you. Ask the Expert
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What level of data accuracy standards do we need for master data?
Find out how to establish data accuracy standards and discover what level of accuracy is necessary for your organization, depending on your business and data requirements. Ask the Expert
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The role of data governance in unstructured data
Data governance has a role in unstructured data -- and it involves enterprise search and semantics. Ask the Expert
- See more Expert Advice on Data quality best practices
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BI Masterminds 2013: Nominate for India’s top BI excellence awards
Nominate for ‘BI Masterminds 2013’, India’s Top Awards for Excellence in Business Intelligence. Let your BI work be recognized. Survey
-
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
-
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
-
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. Analysis
-
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. Analysis
-
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
-
'Big data' management debate: Buy tools now or fix data issues first?
Consultants and IT pros weigh in on whether users should invest in "big data" technologies or wait until they upgrade their data management processes. News
-
Data governance programs expose hills to climb on path to success
IT professionals from Sallie Mae and Fannie Mae offered tips on data governance challenges and how to overcome them at two conferences this month. News
-
Enterprises jump into deep end with cloud data quality, now must learn to swim
Many enterprises deploying cloud-based applications don't appear to have plans in place to address issues such as data quality and data governance, according to a survey by Ventana Research. News
-
Data quality improvement questions answered
Data quality is the key that can open the door to reliable and intelligent reports. Learn how to improve data quality easily and effectively. Answer
- See more All on Data quality best practices
About Data quality best practices
Data quality problems can seriously hamper the effective operation of critical systems like BI, CRM and SCM. In this context, data quality best practices act as the basic building blocks that ensure optimal results. Whether it’s CRM data quality or the need to get trustworthy results from business intelligence data, we have the answers for your requirements. Our fixes for your data quality problems will ensure that your organizational databases exhibit the required degrees such as those of completeness, integrity, accuracy, validity and uniqueness. Powerful data quality methodology will also help you manage your initiatives in the best manner, whether it is at the data entry or data migration levels. Our data quality guidelines will come in handy, irrespective of whether it is data cleansing or data validation. These data quality best practices include comprehensive how-tos, tips, videos, podcasts, and in-depth feature stories.