Results for: fuzzy string

...Each project contains definition of two source datasets to be imported and analyzed (so-called "left dataset" and "right dataset"), as well as variable number of corresponding solutions, which are stored definitions of how to perform fuzzy match analysis. On creation, each project is assigned unique project tag. During raw data importing to server, corresponding input tables get that tag appended in their name. This way, imported tables are always tagged by the project name, which ensures their uniqueness. During importing and also later on, during solutions creation and execution, QDeFuZZiner is creating various indexes on the underlying PostgreSQL database, which facilitate fuzzy data matching. ...

Fuzzy data matching and intelligent data extraction.

DataMatch Enterprise™ solution is a highly visual data cleansing application specifically designed to resolve customer and contact data quality issues. The platform leverages multiple proprietary and standard algorithms to identify phonetic, fuzzy, miskeyed, abbreviated, and domain-specific variations. Build scalable configurations for deduplication & record linkage, suppression, enhancement, extraction, and standardization of business and customer data and create a Single Source of Truth to maximize the impact of your data across the enterprise.

...Using Artificial Intelligence, a proprietary phonetic algorithm, lexicons, and a contextual scoring engine, matchit defeats the errors, inconsistencies, and challenges commonly found in contact and business data. Conventional matching solutions require a user to define matching logic, which is a combination of functions and off-the-shelf fuzzy algorithms, used to produce an alphanumeric value. This alphanumeric value, or ‘match key’, forms the basis for comparing two records together and ultimately finding matches. Unlike conventional matching solutions, matchit doesn’t rely on a single comparison between match keys to find a match. Instead, matchit evaluates records contextually, running a variety of comparisons and scoring them individually to grade similarity between all the relevant elements that make up your data.

...Business and technical users can improve data from CRM, ERP, databases, spreadsheets and other systems without writing code. WinPure combines configurable exact, fuzzy and phonetic matching with Match AI, automated data quality insights and explainable results. The software can be installed on-premises or within a customer-controlled cloud environment, helping sensitive data remain under the organisation’s control. WinPure supports data migrations, CRM consolidation, master data management, compliance, analytics and AI-readiness projects across commercial and public-sector organisations.

...In just minutes, you can cleanse your data of duplicates and blend raw data from different sources into powerful information. Our first objective is maximum match results for our customers. Prior to creating Match2Lists, we ran analytics and data visualisation companies and used most "fuzzy" matching software on the market. Unsatisfied by their low match results, we spent 10 years developing the most advanced data matching logic. Our second objective is time: enable our customers to spend less time matching and cleansing data and more time analysing and executing. So we implemented our advanced matching logic on the fast in-memory cloud computing architecture we could find, capable of matching 200 million records in 30 seconds.

Match Data Pro is an intelligent data quality management tool designed to unify, cleanse, profile, match, deduplicate, and merge records from multiple files, databases, and systems with speed and precision. It provides advanced AI-ready fuzzy matching and configurable rule-based logic that detects duplicates and inconsistencies across large datasets, helping you fix errors, standardize formats, and create reliable golden records without coding. It supports comprehensive data profiling with key metrics to uncover quality issues before processing, powerful data cleansing tools to normalize and standardize information, and address verification capabilities to improve accuracy. ...