Learn how to get started with Match Data Pro in just a few minutes. This section covers the dashboard layout, account setup, user preferences, and subscription options — everything you need to begin your first project with confidence.
Learn how to create and configure projects in Match Data Pro. This tutorial covers everything from naming your project and selecting modules, to enabling automation, setting API triggers, and customizing data lifecycle settings. Whether you’re running one-time processes or building automated workflows, this page walks you through it all.
Learn how to import data into Match Data Pro from a variety of sources including files, databases, APIs, cloud storage, and previous projects. This guide walks you through simple and advanced import options, supported formats, cloud connectors, database credentials, and real-time data preview — everything you need to successfully bring your data into the platform.
The Data Profiler module in Match Data Pro gives you deep insights into the structure and quality of your imported data. Learn how to analyze accuracy, uniqueness, conformity, and precision across your datasets using automated profiling tools, pattern detection, and interactive visualizations — all designed to prepare your data for high-confidence matching and cleansing.
The Cleansing module in Match Data Pro empowers you to standardize, correct, and prepare your data for accurate matching and analysis. With both basic and advanced tools, you can remove unwanted characters, replace values, format strings, fill blanks, apply conditional logic, and perform math operations, apply patterns and dictionaries, validate and parse data
Match Data Pro’s powerful fuzzy matching module enables you to accurately match, deduplicate, and group records—even when your data contains inconsistencies, misspellings, or formatting variations. Using the MDP proprietary matching algorithm, you can define precise match criteria, set thresholds, and control grouping strategies such as “all-to-all” or “partial” matching. This guide explains exactly how fuzzy matching works, how to create effective match definitions, and how to optimize performance on large datasets.
Learn how to efficiently consolidate matched records using Match Data Pro’s Master Record Assignment and Data Merging tools. After fuzzy matching and grouping, these powerful features help you assign a “golden” master record within each group and merge data fields intelligently from multiple records. Ensure data accuracy, eliminate duplicates, and create unified records optimized for analytics, CRM integrations, and reporting.
Learn how to leverage Senzing’s advanced AI-driven algorithms directly within Match Data Pro to achieve highly accurate matching, deduplication, and entity resolution. This integration provides comprehensive identity matching and unmatched precision for complex datasets, ensuring your data remains clean, accurate, and actionable.
Learn how to easily extract and download your cleansed, matched, and consolidated datasets. Export your data into multiple formats, including CSV, Excel, JSON, and more, for seamless integration into your CRM, data analytics tools, or custom applications. This section covers how to configure exports, choose the right file formats, and automate exports for maximum efficiency.
At Match Data Pro, our core focus is data matching and entity resolution but our platform goes far beyond that
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