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Summit 2008 – San Francisco January 10, 2008

Posted by Peter Benza in Data Accuracy, Data Governance, Data Integrity, Data Metrics, Data Processes, Data Quality, Data Stewardship, Data Strategy, Data Templates, Data Verification, Data Warehouse.
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If you have not attended a Summit then mark your calendars for:

CDI-MDM Summit Spring 2008

Please post and share your comments about this upcoming summit or if you have not attended and want to learn more then link using the above reference.

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Purisma delivers breakthrough solutions for MDM September 19, 2007

Posted by Peter Benza in Data Governance, Data Hygiene, Data Integration, Data Management, Data Quality, Data Variables, Data Warehouse.
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Here is an partial extract from this announcement:  

(see link below to read the entire article)

Bob Hagenau, Cofounder and VP of Products and Corporate Development for Purisma, recently participated in an exclusive interview with Claudia Imhoff and the Business Intelligence Network ( http://www.BeyeNETWORK.com ). In this interview, Hagenau discusses Purisma’s solutions-driven approach to master data management (MDM), new features of Purisma Data Hub 3.0 and Purisma Business Data Appliances — preconfigured MDM applications that allow businesses to solve specific point problems.

http://findarticles.com/p/articles/mi_pwwi/is_200709/ai_n19509669

Incorporating data quality into your business, technical, and regulatory standards September 18, 2007

Posted by Peter Benza in Data Profiling, Data Quality, Data Research, Data Warehouse.
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This white paper describes how application developers can incorporate data quality into their Microsoft SQL Server 2005 Integration Services solutions. (22 printed pages)

Here is an excerpt from the beginning of this paper:

The quality of the data that is used by a business is a measure of how well its organizational data practices satisfy business, technical, and regulatory standards. Organizations with high data quality use data as a valuable competitive asset to increase efficiency, enhance customer service, and drive profitability. Alternatively, organizations with poor data quality spend time working with conflicting reports and flawed business plans, resulting in erroneous decisions that are made with outdated, inconsistent, and invalid data.

For the rest of this article:

http://technet.microsoft.com/en-us/library/aa964137.aspx

10 Critical factors for successful enterprise data quality September 16, 2007

Posted by Peter Benza in Data Governance, Data Integration, Data Management, Data Profiling, Data Quality, Data Strategy, Data Warehouse.
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These 10 points were written by Len Dubois, VP of Marketing for Trillium Software over five years ago and his guidance still holds true today in September 2007. 

I recommend, if you need a refresher or want to read this article for the first time – its time well spent.  I have met Len in person – be sure to look for him at the next data quality trade show – you will be pleased you did.

http://www.tdwi.org/research/display.aspx?ID=6341

Online data gathering – great resource for surveys and business forms August 25, 2007

Posted by Peter Benza in Data Analysis, Data References, Data Templates, Data Tools, Data Warehouse.
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I came across this website and after reading what it does I just had to share it.  The responses can be exported to a excel or word file – even add your response and form data into a data warehouse – an Access file will be downloaded that will allow you to do further analysis, if you desire.  

Visit www.askget.com to learn more about this online data gathering tool. 

Malcolm Chisholm, President, Askget.com, Holmdel, NJ