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About

Match Data Pro is an intelligent data quality management tool designed to unify, cleanse, profile, match, deduplicate, and merge records from multiple files, databases, and systems with speed and precision. It provides advanced AI-ready fuzzy matching and configurable rule-based logic that detects duplicates and inconsistencies across large datasets, helping you fix errors, standardize formats, and create reliable golden records without coding. It supports comprehensive data profiling with key metrics to uncover quality issues before processing, powerful data cleansing tools to normalize and standardize information, and address verification capabilities to improve accuracy. Match Data Pro includes Senzing AI entity resolution and customizable matching algorithms that handle slight variations in data, high-performance processing that scales to millions of records, and project job automation with scheduling, reusable rules, and API integrations.

About

Extract, normalize, and standardize your data across multiple inputs and formats. Normalize all your information – including business and individual data, structured and unstructured. Precisely applies supervised machine learning neural network-based techniques to understand the structure and variations of different types of information and parses data automatically. Spectrum Quality is ideally suited for global client bases that require multi-level data standardization and transliteration for multiple languages and culturally specific terms, including those in Arabic, Chinese, Japanese and Korean. Our advanced text-processing enables information extraction from any natural language input text and assigns categories to unstructured text. Using pre-trained models and machine learning based algorithms, you can extract entities and further train and customize your models to define specific entities of any domain or type.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Data professionals, analysts, and business teams who need to clean, match, and unify large and complex datasets quickly and accurately

Audience

Companies that want to ensure your data is accurate, valid and complete to deliver the trusted data that fuels customer understanding and engagement

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

$27 per month
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Match Data Pro
Founded: 2023
United States
matchdatapro.com

Company Information

Precisely
Founded: 1968
United States
www.precisely.com/product/precisely-spectrum-quality/spectrum-quality

Alternatives

Alternatives

DataMatch

DataMatch

Data Ladder

Categories

Categories

Data Quality Features

Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management

Integrations

Dropbox
Dropbox Paper
Google Chrome
Google Drive
JSON
Microsoft OneDrive
Microsoft Teams
SQL
Snowflake
Zip

Integrations

Dropbox
Dropbox Paper
Google Chrome
Google Drive
JSON
Microsoft OneDrive
Microsoft Teams
SQL
Snowflake
Zip
Claim Match Data Pro and update features and information
Claim Match Data Pro and update features and information
Claim Spectrum Quality and update features and information
Claim Spectrum Quality and update features and information