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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

Customer information is ubiquitous in today's world, spanning across cell phones, social media platforms, IoT devices, customer relationship management systems, enterprise resource planning tools, and various marketing efforts. The sheer volume of data collected by companies is immense, yet it frequently remains underutilized, incomplete, or even inaccurate. Poorly managed and low-quality data can disrupt organizational efficiency, jeopardizing significant growth opportunities. It is essential for customer data to serve as a cohesive element connecting all business processes. Ensuring that this data is both reliable and readily available to everyone, at any time, is of utmost importance. The DQE One solution caters to all departments that utilize customer data, promoting high-quality information that fosters trust in decision-making. Within corporate databases, contact details sourced from different channels often accumulate, leading to potential issues. With the presence of data entry mistakes, erroneous contact details, and information gaps, it becomes vital to regularly validate and sustain the customer database throughout its lifecycle, transforming it into a dependable resource. By prioritizing data quality, companies can unlock new avenues for growth and innovation.

Description

Match Data Pro is a sophisticated tool for managing data quality that aims to integrate, cleanse, analyze, match, eliminate duplicates, and consolidate records from various files, databases, and systems with remarkable efficiency and accuracy. It features cutting-edge AI-enabled fuzzy matching and adjustable rule-based logic to identify duplicates and inconsistencies within extensive datasets, assisting users in correcting errors, standardizing formats, and generating trustworthy golden records without the need for coding expertise. The tool also offers extensive data profiling with essential metrics to identify quality concerns prior to processing, robust data cleansing functionalities for normalizing and standardizing information, along with address verification features that enhance accuracy. Furthermore, Match Data Pro is equipped with Senzing AI entity resolution and customizable matching algorithms to accommodate minor data variations, ensuring high-performance processing capable of scaling up to millions of records. Additionally, it facilitates project job automation through scheduling, reusable rules, and seamless API integrations, making it a comprehensive solution for effective data management.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Dropbox No 
Dropbox Paper No 
Google Chrome No 
Google Drive No 
JSON No 
Microsoft OneDrive No 
Microsoft Teams No 
SQL No 
Snowflake No 
Zip No 

Integrations

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

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

$27 per month
Free Trial Yes 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

DQE

Founded

2008

Country

United Kingdom

Website

dqe.tech/en/dqe-one/

Vendor Details

Company Name

Match Data Pro

Founded

2023

Country

United States

Website

matchdatapro.com

Product Features

Data Quality

Address Validation No 
Data Deduplication No 
Data Discovery No 
Data Profililng No 
Master Data Management No 
Match & Merge No 
Metadata Management No 

Product Features

Data Cleansing

Address/ZIP Code Cleaning No 
Charting No 
Data Consolidation / ETL No 
Data Mapping No 
Multi Data Format Support No 
Phone/Email Validation No 
Raw Data Ingestion No 
Sample Testing No 
Validation / Matching / Reconciliation No 

Data Quality

Address Validation No 
Data Deduplication No 
Data Discovery No 
Data Profililng No 
Master Data Management No 
Match & Merge No 
Metadata Management No 

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