Welcome to the Cleansing & Standardization Documentation — your complete reference for every data cleansing and standardization feature available in Match Data Pro. This section covers all related sub-pages in detail, from basic field normalization to advanced transformation rules and output formatting options.
The Getting Started section in Match Data Pro gives you a clear foundation for working with cleansing and standardization rules. From navigating the different feature categories, to building and applying rules, editing configurations, saving your work as reusable templates, and more — this section covers everything a new user needs to get up and running quickly.
The Basic and Advanced cleansing options in Match Data Pro give you precise control over your data at the field level. From simple operations like remove and replace, to powerful tools like merge, left and right extract, dynamic search substitutions, fill blanks, and more — these options cover every transformation your data preparation workflow requires.
The Patterns option in Match Data Pro allows you to work with unstructured and semi-structured data by using regular expressions. From simple pattern matching and extraction, to powerful transformations like find and replace, group capture, character class filtering, lookaheads, and more — these options cover every regex-driven cleansing and standardization operation your data preparation workflow requires.
The Dictionaries options in Match Data Pro give you precise control over your data using predefined and custom word lists. From removing noise and unwanted terms, to standardizing text variations, creating flag columns, bulk replacements, and more — these options cover every dictionary-driven cleansing and standardization operation your data preparation workflow requires.
The Validation options in Match Data Pro give you precise control over the integrity of your data at the field level. From validating emails, phone numbers, and dates, to checking number ranges, matching against lists, applying conditional outputs, and more — these options cover every validation operation your data preparation workflow requires.
The Parsers options in Match Data Pro give you precise control over how complex field values are broken down and structured. From parsing full names into individual components with nickname to formal name resolution, to splitting addresses into their most granular parts, and more — these options cover every parsing operation your data preparation workflow requires.
The Filtering options in Match Data Pro give you precise control over which records are included in your dataset before matching. From building single and multi-condition filter rules, to removing unwanted records, combining conditions with logic operators, and more — these options cover every filtering operation your data preparation workflow requires.
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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