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Software Name:

QDeFuZZiner Lite


      
Version
: 1.2.0
    

Category: Miscellaneous    

Date Listed/Updated: 2023-02-09 04:54:42

File size: 1006298 KB

OS: Win2000,WinXP,Win7 x32,Win7 x64,Windows 8,Windows 10,WinServer,WinOther,Windows2000,Windows2003,Windows Server 2000,Windows Server 2003,Windows Server 2008,Windows Server 2008r2,Windows Server 2012,Windows Tablet PC Edition 2005,Windows Media Center Edition 2005,WinVista,Windows Vista Starter,Windows Vista Home Basic,Windows Vista Home Premium,Windows Vista Business,Windows Vista Enterprise,Windows Vista Ultimate,WinVista x64,Windows Vista Home Basic x64,Windows Vista Home Premium x64,Windows Vi  License: Other  Price($): 180

Author/Publisher name: Zlatko Matic

QDeFuZZiner Lite

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Description:

Do you need to link, merge, combine, cleanse or deduplicate your datasets? Availability of a reliable master data for a supply chain can be crucial for success of a company. Supply chain performance is dependent on consistent definitions of customers, products, items, locations, and other master data objects. When data is poorly governed and inconsistent, supply chain become less competitive. Good data leads to efficient supply chains, allowing resources to be spent on innovation rather than on coping with problems.However, business data is often messy, containing duplicate entries of same entities, missing information, having misspellings and various other errors.In many cases, there is no unique identifier which can be used to unambiguously identify an entity. When such data sources need to be linked or deduplicated solely based on string similarity, it is called fuzzy data matching.Fuzzy data matching is set of techniques to determine same identities, i.e. related records in two different datasets, when there is no unique identifier to identify entities. In such cases, records are compared based on approximate string similarity. Records that have calculated string similarity above a custom threshold are considered to be same entities.QDeFuZZiner is a powerful and user-friendly fuzzy data matching, record linkage, data merging and data de-duplication software, which can help you to consolidate and cleanse your messy business data.

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Tags: fuzzy match  fuzzy data matching  data matching  string similarity  approximate string similarity  a 

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Press release from the publisher:

Do you need to link, merge, combine, cleanse or deduplicate your datasets? Availability of a reliable master data for a supply chain can be crucial for success of a company. Supply chain performance is dependent on consistent definitions of customers, products, items, locations, and other master data objects. When data is poorly governed and inconsistent, supply chain become less competitive. Good data leads to efficient supply chains, allowing resources to be spent on innovation rather than on coping with problems. However, business data is often messy, containing duplicate entries of same entities, missing information, having misspellings and various other errors. In many cases, there is no unique identifier which can be used to unambiguously identify an entity. In such situation you need a decent fuzzy data matching tool capable of consolidating your data. QDeFuZZiner is a fuzzy data matching, record linkage, data merging and data de-duplication software, which can help you to consolidate and cleanse your messy data. Besides already well known cloud web application, QDeFuZZiner is now also available as downloadable desktop shareware software. Main features of the QDeFuZZiner software: - Robust back-end PostgreSQL database, capable of storing, indexing and processing heavy input datasets - Intuitive and interactive front-end desktop application, deployed as on-line web application via any browser - no installation on customer side is needed - Importing input datasets from spreadsheet and flat (csv) files through interactive GUI - Intuitive organization of fuzzy data matching projects - Intuitive creation of multiple solutions inside each project - Each solution provides interactive user interface for definition of various fuzzy matching parameters (blocking similarity threshold, similarity threshold, optional usage of lexemization and dictionaries) - Each solution provides definition of exact matching constraints, fuzzy matching constraints, other constraints - You can define merged columns in a resultset, multiple options of merging types are available - Graphical tool for visualization of similarity distribution of matches and non-matches in a solution table, providing help in determining otimum threshold value for a solution - Automatic determination of optimum weights for fuzzy matching field pairs - Interactive datagrids with integrated searching, filtering, sorting and customization capabilities - Interactive splitters between form sections, helping in optimum utilization of screen space - Integrated spreadsheet software Spready for analyzing input datasets and resultsets - Exporting of resultsets into spreadsheet files (.xlsx, .xls, .ods) or flat files (.csv, .txt, .tab) Get your free copy of QDeFuZZiner desktop app and happy data matching! https: matasoft.hr QTrendControl index.php qdefuzziner-fuzzy-data-matching-software qdefuzziner-get-software

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PlaningzMonitoringzQDeFuZZiner Lite

 

 

 
   
 

   

 

 

 

 

 
     

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