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Fuzzy Name Matching

<p><strong>Fuzzy Name Matching</strong></p><p>This workflow is useful identify and reduce duplication of entries in master data files by detecting any entries that have slightly different spellings. The existence of such duplicates can result in incomplete management reporting and decision-making, and could be either unintentional or the result of fraud. This workflow can be applied to a wide variety of data (e.g., corporate card transactions, employees, customers, vendors, GL accounts, etc.)</p>

Fuzzy Name Matching

This workflow is useful identify and reduce duplication of entries in master data files by detecting any entries that have slightly different spellings. The existence of such duplicates can result in incomplete management reporting and decision-making, and could be either unintentional or the result of fraud. This workflow can be applied to a wide variety of data (e.g., corporate card transactions, employees, customers, vendors, GL accounts, etc.)

Data Reading

Upload your own Excel file, or try the workflow with a provided sample file.

Data Exploration

Data Validation

Identify Fuzzy Names

Dashboard & Report Generation

Apply different teststo validate data (numeric,strig, date&time,missing values, etc.)
Data Validation
Upload your Excel file
File Upload
Select the type of reportyou want to generate
Analysis Dashboard & Report
For numeric columns:it checks missing values andcomputes summary stats
Statistics of Dataset
Select name fieldand view all identifiedfuzzy occurrences
Fuzzy Matching

Nodes

Extensions

Links

Download

To use this workflow in KNIME, download it from the below URL and open it in KNIME:

Download Workflow
Created by: Brijesh AH
Created at: 2025-05-28
On NodePit since: 2025-10-03
Last update: 2025-10-03
Created with KNIME version: v5.7.0
Tags: Auditfinancefuzzy name matchduplicatesfinancial servicesauditors

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