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Dots On A Map Improve Data Quality April 18, 2009

Posted by Peter Benza in Data Accuracy, Data Hygiene, Data Integrity, Data Management, Data Mining, Data Profiling, Data Quality, Data Standardization, Data Stewardship, Data Types, Data Visualization, Linkedin.
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This was a presentation I originally prepared back in 2005, but is probably even more applicable in 2009 given the impact using a GIS tool can have on visualizing data quality – customer addresses on  a map! The next time you conduct a customer “data” assessment – try this!

Data Quality and Master Data Initiatives March 31, 2009

Posted by Peter Benza in Data Accuracy, Data Integration, Data Integrity, Data Profiling, Data Quality, Data Sources.
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Initiatives related to master data continues to be on the radar of major corporations especially as it relates to data quality and other mission critical business processes across the enterprise that impact or relies on the quality of data being complete, accurate, and up-to-date.

What other MDM initiatives (besides Data Quality) are also paramount as part of centralizing master data for single customer view purposes.

Lets start a list:

1.) Data Profiling

2.) Data Integration

3.) Match Accuracy

4.) MDM Tools

5.) ???

Human Inference – an international data quality solution provider February 11, 2008

Posted by Peter Benza in Data Governance, Data Hygiene, Data Integrity, Data Management, Data Metrics, Data Processes, Data Profiling, Data Quality.
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From the website:

Human Inference discovered that to reach the desired results, mathematical logic is not sufficient. The knowledge about the language and culture of a country was necessary as well. Human Inference proved to be right, since today the largest companies of the world are using our knowledge-based software to improve the quality of their data.

http://humaninference.com/services/professional-services/data-quality–assessment/

DataFlux positioned in leaders quadrant for data quality according to Gartner January 17, 2008

Posted by Peter Benza in Data Assessment, Data Consolidation, Data Governance, Data Hygiene, Data Integration, Data Integrity, Data Management, Data Profiling, Data Quality, Data Standardization, Data Templates, Data Tools.
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Compliance, Data Governance, Master Data Management, Data Profiling

http://www.dataflux.com/

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

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.

Great definition: about data integrity August 18, 2007

Posted by Peter Benza in Data Hygiene, Data Integrity.
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I came across this definition from the Data Lever website about data integrity.

“Data integrity involves more than just data cleansing, deduplication, householding, CASS certification, and geocoding. You need information that is consistent, complete, accurate and relevant. To get there, you need an enterprise-class data quality solution that can handle correction, validation, and enhancement of all your data—no matter where is comes from. You need it to be easy to implement, efficient to operate, at a price you can afford.”

www.datalever.com 

Peter Benza – 1984 graduate of the direct marketing educational foundation – creates enterprise data quality weblog August 13, 2007

Posted by Peter Benza in Data Elements, Data Governance, Data Integrity, Data Management, Data Mining, Data Optimization, Data Profiling, Data Quality, Data Stewardship, Data Strategy, Data Tools, Data Variables, Data Visualization.
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