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What is Match Data Pro?

Match Data Pro is an advanced solution designed for data quality management that excels in integrating, cleansing, analyzing, matching, removing duplicates, and consolidating records from a multitude of files, databases, and systems with impressive precision and efficiency. This tool incorporates state-of-the-art AI-driven fuzzy matching along with flexible rule-based logic to detect duplicates and inconsistencies in large datasets, enabling users to rectify errors, standardize formats, and produce reliable golden records without requiring any programming skills. Additionally, it provides thorough data profiling with key metrics to pinpoint quality issues before processing, powerful data cleansing capabilities for normalizing and standardizing data, and address verification features that enhance overall accuracy. Beyond these functions, Match Data Pro utilizes Senzing AI for entity resolution and allows for customizable matching algorithms that adapt to minor discrepancies in data, ensuring efficient processing that can handle millions of records. To further streamline operations, it supports project job automation through scheduling, reusable rules, and easy API integrations, positioning itself as a well-rounded solution for comprehensive data management. Ultimately, this tool not only simplifies the data management process but also empowers organizations to maintain high-quality data standards consistently.

What is MIOvantage?

Achieve a thorough comprehension of your data using a variety of techniques. Although automatic profiling provides a basic overview, advanced features are designed to serve both technical experts and business stakeholders, allowing for a deeper investigation. By integrating automation, pattern recognition, and statistical approaches, you can gain the essential insights needed for well-informed decisions. A diverse selection of rule-building tools allows for effective management of data quality across multiple levels. You can evaluate conventional metrics like validity, completeness, consistency, accuracy, and timeliness while also integrating customized metrics tailored to unique requirements. High-level data quality is maintained through scenario-based rules that produce relevant and context-aware outcomes. Addressing data quality challenges and refining data leads to more substantial insights, as automated correction functionalities handle most tasks with reliable and traceable decision-making processes. Furthermore, issue resolution and workflow management support human-driven enhancement efforts. In conclusion, this all-encompassing strategy enables the creation of a more precise and detailed data representation, utilizing methods ranging from entity resolution to sophisticated deduplication and householding, thus significantly deepening your understanding of the data landscape. Ultimately, this enriched perspective can pave the way for more strategic initiatives and better overall outcomes.

Media

Media

Integrations Supported

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

Integrations Supported

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

API Availability

Has API

API Availability

Has API

Pricing Information

$27 per month
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Match Data Pro

Date Founded

2023

Company Location

United States

Company Website

matchdatapro.com

Company Facts

Organization Name

MIOsoft

Date Founded

1998

Company Location

United States

Company Website

www.miosoft.com/products/miovantage/index.html

Categories and Features

Data Cleansing

Address/ZIP Code Cleaning
Charting
Data Consolidation / ETL
Data Mapping
Multi Data Format Support
Phone/Email Validation
Raw Data Ingestion
Sample Testing
Validation / Matching / Reconciliation

Data Quality

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

Categories and Features

Data Management

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

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