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Description
Robust algorithms for probabilistic data matching leverage shared identifiers like names, birth dates, gender, addresses, Social Security Numbers, and business names, among others. These algorithms facilitate the importation of data from various desktop and corporate database systems, enhancing versatility. Such data matching software can identify up to 99% or more of all possible matches. For businesses, this capability can translate into substantial additional revenue or significant cost reductions, while also improving fraud detection efforts. In the realm of medical research, effective data matching can determine whether a project succeeds in yielding meaningful findings or ultimately falls short. LinkageWiz stands out as an efficient and user-friendly solution, offering exceptional value by integrating many features typically found in separate products into one comprehensive package, making it a preferred choice for various applications. Furthermore, its streamlined interface allows users with varying levels of expertise to navigate the software with ease.
Description
In QDeFuZZiner software, the fundamental unit is referred to as a project, which encompasses the definitions of two source datasets for import and analysis, known as the "left dataset" and "right dataset." Each project not only includes these datasets but also a variable number of solutions that detail the methodology for conducting fuzzy match analysis. Upon creation, every project is assigned a distinct project tag, which is subsequently appended to the names of the corresponding input tables during the raw data import process. This tagging system guarantees that the imported tables maintain uniqueness through association with their respective project names. Furthermore, during the import phase and later when generating and executing solutions, QDeFuZZiner establishes various indexes on the PostgreSQL database, thereby enhancing the efficiency of fuzzy data matching procedures. The datasets themselves can be sourced from spreadsheet formats such as .xlsx, .xls, .ods, or from CSV (comma separated values) flat files, which are uploaded to the server database, leading to the creation, indexing, and processing of the associated left and right database tables. This structured approach not only simplifies data management but also streamlines the analysis process, making it easier for users to derive insights from their datasets.
API Access
Has API
API Access
Has API
Integrations
PostgreSQL
Pricing Details
$199 one-time payment
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
LinkageWiz
Country
Australia
Website
www.linkagewiz.net
Vendor Details
Company Name
QDeFuZZiner
Website
zmatasoft.wixsite.com/qdefuzziner/qdefuzziner-software-features
Product 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