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Data Profiling Made Easy
Analyze & Understand

Understand Your Data with Advanced Data Profiling

Before you can clean, match, or merge data, you need to understand it. Match Data Pro’s data profiling module gives you deep insights into the quality, structure, and consistency of your datasets—so you can take informed action. From missing values to formatting anomalies, we make invisible problems visible.

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

Common Data Quality Issues

Common data issues detected during data profiling include missing values, invalid formats, inconsistent data types, and duplicates. Identifying these problems early helps improve data cleansing and boosts the accuracy of any fuzzy matching process. A reliable data matching tool or data matching software starts with thorough profiling.

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Benefits of Data Profiling Before Cleansing

  • Identify Hidden Errors: Spot nulls, invalid formats, and outliers before they cause downstream issues.
  • Understand Data Structure: Gain insight into column types, patterns, and inconsistencies.
  • Inform Matching Logic: Detect irregularities that affect fuzzy matching and improve definition accuracy.
  • Guide Effective Data Cleansing: Focus cleansing efforts where problems actually exist.
  • Save Time and Resources: Avoid unnecessary processing by targeting the right fields.
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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.

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Ensure Data Consistency Before Cleansing

  • Does the data set and all of the data contained in each of the fields or columns, match requirements? How many different ways do dates and phone numbers appear? This module looks at the syntax and field types.
  • Valid and invalid values can be easily flagged, visualized and corrected as needed.
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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.

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Pattern & Format Detection

Uncover hidden patterns and non-standard formats in names, addresses, phone numbers, emails, and more. Match Data Pro uses regex-based analysis and custom dictionaries to detect structured inconsistencies—like uppercase vs. lowercase, misplaced delimiters, or unusual word combinations—so you can standardize your data with confidence before running any data matching tool or cleansing operation.

Data Quality Scoring

Every dataset gets a data quality score based on completeness, consistency, uniqueness, and conformity. This score helps you quickly assess the overall health of your data and prioritize cleansing tasks. With Match Data Pro’s scoring system, you can track improvements over time and ensure better results from your fuzzy matching or data matching software.

Data Profiling Overview – Scan, Score, and Understand Your Data

Get a quick walkthrough of how Match Data Pro profiles your data—detecting nulls, inconsistencies, invalid formats, and more. See how profiling sets the stage for effective data cleansing and accurate fuzzy matching.

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At Match Data Pro, our core focus is fuzzy data matching and entity resolution but our platform goes far beyond that

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