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What is QDeFuZZiner?

In the QDeFuZZiner application, the core organizational element is termed a project, which includes the definitions of two datasets intended for import and analysis, identified as the "left dataset" and the "right dataset." Each project contains these datasets along with a variable number of solutions that outline the procedures for performing fuzzy match analysis. When a project is created, it is assigned a unique project tag that is then added to the names of the input tables during the raw data importation process. This tagging mechanism ensures the distinctiveness of the imported tables by linking them to their corresponding project names. Additionally, throughout the import process and in subsequent steps for generating and implementing solutions, QDeFuZZiner constructs several indexes within the PostgreSQL database, which improves the effectiveness of fuzzy data matching tasks. The datasets can originate from various spreadsheet formats such as .xlsx, .xls, .ods, or from CSV (comma-separated values) files, which are uploaded to the server database, facilitating the creation, indexing, and processing of the associated left and right database tables. This organized methodology not only enhances data management but also optimizes the analytical process, allowing users to efficiently extract valuable insights from their datasets. Ultimately, this design aims to provide a seamless experience for users, ensuring that they can easily navigate complex data environments.

What is Data Cleansing & Matching?

This innovative data matching software is equipped with a sophisticated matching engine that facilitates the transformation and standardization of your data, enabling the comparison of different projects and the alignment of records from multiple marketing lists and databases. Utilizing state-of-the-art technology, our data matching solution is primed to elevate your operational efficiency. Discover the power of our data scrubbing tools or delve into our matching software today. Users can add new records and refresh the primary database while gaining access to insightful statistics. Moreover, you have the flexibility to either insert new records or update the primary database, promoting effective data management. Updating the main database with matched data and accessing detailed analytics is a seamless process, and you can also eliminate matches to ensure ongoing accuracy. In summary, our software offers a holistic approach to data management and analysis, making it an essential tool for any organization looking to optimize their data handling processes. Moreover, its user-friendly interface ensures that even those with minimal technical expertise can navigate its features with ease.

Media

Media

Integrations Supported

PostgreSQL

Integrations Supported

PostgreSQL

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$99.95 one-time payment
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

QDeFuZZiner

Company Website

zmatasoft.wixsite.com/qdefuzziner/qdefuzziner-software-features

Company Facts

Organization Name

Data Cleansing & Matching

Company Location

Canada

Company Website

datacleansingmatching.com/data-matching-software-features/

Categories and Features

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

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