Data Profiling

Enhance Your Data Quality with Advanced

Unlock the full potential of your data with Match Data Pro’s comprehensive data profiling solutions. Our advanced data profiling tool offers powerful capabilities for analyzing and understanding your data, ensuring you can make informed decisions and maintain the highest data quality standards.

MDP Dashboard displays your Data Profile: Total Records 739 (blue), Overall Score 30 (red), Overall Time 28 seconds (yellow). Below are scores for Accuracy 0/50, Uniqueness 5/30, Conformity 20/20, and Precision. Match Data Pro

Comprehensive Data Analysis

Our data profiling tool performs thorough analysis to create detailed data profiles. It assesses data accuracy, completeness, consistency, and more to provide a clear picture of your data’s health.

Improve Data Accuracy

MDP A Senzing Data Profile chart with three sections: Counts (Pattern Detection, Max Length, Null, Filled), Characters (Numbers, Numbers Only, Letters, Letters Only, Numbers and Letters), and Additional Checks (Fuzzy Matching, Outlier Detection). Match Data Pro
MDP A Senzing table displays contact data columns—First Name, Last Name, and Middle Initial—with row counts, distinct values, and histograms for data profile insights to aid in Data Cleansing. Match Data Pro

Identify Duplicates

1: Distinct rows can tell you quickly how much duplication you have in a column.

2: Histograms also make it easy to see the repetitive values contained in a column.

Advanced Profiling Techniques

MDP A table showing data types, date formats, count of valid and invalid entries, and percent valid. All rows are nearly 100% valid, supporting Data Cleansing efforts—most data types are string with N/A date format; one uses a specific format. Match Data Pro
MDP A table displaying a Data Profile with six columns—Min, Max, Mean, Median, Mode, and Extreme—shows mostly N/A values. Some rows, useful for Fuzzy Data Matching in Senzing, contain dates formatted as yyyy/mm/dd. Match Data Pro

Easily Find Trends

1: Statistical profiling for numeric and string values.

2: Easily identify the minimum, maximum, mean, median, mode, and extreme values in each column.