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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!

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What data variable(s) are useful to determine when a customer record should be classified as active or inactive? August 25, 2007

Posted by Peter Benza in Data Analysis, Data Management, Data Metrics, Data Mining, Data Processes, Data Research, Data Variables.
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NCDM tradeshow from early 1990’s August 19, 2007

Posted by Peter Benza in Data Elements, Data Management, Data Mining, Data Profiling.
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ncdm_wagon2.jpg

Here is a old snapshot I found from a database marketing tradeshow I attended back in the early 1990’s in Orlando, FL. 

Data quality in the 1990’s equated to postal name and address information – address standardization, zip correction, phone number verification, first name tables, apartment number enhancements, area code changes, and probably the biggest – National Change of Address.  Today, data quality has expanded to include product data, item data, financial data, and other master data sources across the enterprise.

Service bureau’s like IRA (at that time) were just one of a few bureau’s remaining that were privately held who mass-compiled consumer data on a national basis and collected information like exact age, phone numbers, length of residence, dwelling unit type, dwelling unit size, height/weight information, voting preference… the list goes on!

Today, with the evolution of database technology, consumer data used as reference data, statistical analysis, and advanced data profiling tools – the database marketing industry has truely taken all these subject area’s to the next level. 

Best practices for database management, data quality, and data governance are now prime time and instead of organization just concentrating on how to cut costs (more) – they want to shift to increasing revenues – and to do that it begins with leveraging corporate data sources across the enterprise.

How does your data quality tool handle unstructured data? August 17, 2007

Posted by Peter Benza in Data Mining, Data Quality, Data Tools.
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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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