Discover Data Quality Issues Before they Arise

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By Taky Djarou, Data Quality Analyst


Melissa has released its new data Profiler API. The Profiler Object offers a unique approach to profiling your data, combining years of contact data quality experience, the power of many Melissa Objects, and data source tables to help you dig deeper into your data and return hundreds of properties about the input table, columns and individual values.

For example, many existing Profilers will allow the user to set a RegEx to capture an email pattern. The Melissa Profiler offers that function, as well as checking the syntax, the domain, and whether it's disposable, has a spammy reputation, or is invalid and will return counts that reflect all of the above.

Data validation is also performed on city, state/province, ZIP and postal code fields to report any discrepancies in your data. Even if you accidentally put a phone number in a name field, Melissa's Profiler can detect and report it.

The Profiler Object returns counts of duplicate records using four different matching criteria (Exact, Address Only, Household, and Contact.) Using the power of our flagship deduplication solution MatchUp, the number of unique records, duplicates and the largest group of duplicate counts will be reported for all four matching criteria.

Melissa's Profiler also provides value specific iterators (pattern, word, data, date, Soundex, etc.) that allow the user to loop through any column in an ascending or descending order to retrieve those values and their respective counts.

The date iterator for example, allows the user to see the busiest/slowest time/day of the month/day of the week using a time stamp field of when a record was created.

To demo the Melissa Profiler, please visit us at:  http://www.melissa.com/data/profiling.html or call 1-800-MELISSA (635-4772) and one of our Sales Representatives will set you up with a free trial.

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