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BusinessObjects data quality XI January 17, 2008

Posted by Peter Benza in Data Accuracy, Data Analysis, Data Architecture, Data Assessment, Data Consolidation, Data Hygiene, Data Integrity, Data Profiling, Data Quality, Data References, Data Strategy, Data Templates, Data Tools.
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Standardize, Identify Duplicates, Correct, Improve Match, Append, Consolidate, and more.    

http://www.businessobjects.com/products/dataquality/data_quality_xi.asp

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MDM Accelerator® by Zoomix January 9, 2008

Posted by Peter Benza in Data Accuracy, Data Aggregates, Data Analysis, Data Assessment, Data Consolidation, Data Dictionary, Data Formats, Data Governance, Data Hygiene, Data Integration, Data Management, Data Metrics, Data Processes, Data Profiling, Data Quality, Data References, Data Sources, Data Standardization, Data Stewardship, Data Synchronization, Data Templates, Data Tools.
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To learn more about or post your comments about MDM Accelerator®

by Zoomix.

http://www.zoomix.com/mdm.asp

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

What kind of data references are being bolted-on to enhance record matching inside the customer database? August 17, 2007

Posted by Peter Benza in Data Elements, Data References, Data Strategy, Data Verification.
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Organizations are turning to compiled reference data to compliment the match/merge/optimize routines inside their customer data hub.  A score/rank is also being pre-assigned (appended) to each customer record to make this process easier when it comes to building match-logic for use during the file build process.

A good example of this is aggregating surname into various geographic levels – block group, census tract, zip code, county, and so on.  The resulting surname statistics by geography are used as part of the overall algorithm applied during the integration/update process to improve the decision making process which brings two or more customer records together, referred to as a household.

Note: Surname is only one data element – others exist and vendors in the informations services industry have packaged this concept into licensed modules for use in organizations master data management landscape. 

What non-for-profit associations are there to learn more about global data quality issues? August 17, 2007

Posted by Peter Benza in Data Hygiene, Data Quality, Data References.
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