Match Data Pro
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. Match Data Pro includes Senzing AI entity resolution and customizable matching algorithms that handle slight variations in data, high-performance processing that scales to millions of records, and project job automation with scheduling, reusable rules, and API integrations.
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Data Ladder
DataMatch Enterprise (DME) by Data Ladder is an entity resolution and data matching platform that identifies, links, and consolidates records describing the same person, business, or entity across systems. Teams use it to profile, standardize, match, deduplicate, and merge data into a trusted golden record for customer 360, KYC, fraud, and master data management.
DataMatch Enterprise pairs a visual, code-free interface for business teams with a REST API for developers, so the same matching engine works inside applications, pipelines, and AI agent workflows. New capabilities include entity graphs for visualizing linked records, live search for real-time matching, and Docker deployment alongside on-premises and cloud options.
Benchmarked across 15 studies, DataMatch Enterprise finds 5 to 12% more matches with fewer false positives, up to 99% accuracy, and matched 10 million records in 41 minutes.
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Pivot Desktop
Pivot Desktop is a Windows desktop workspace for analysts, researchers, and students to prepare, explore, visualize, and model tabular data. Users build editable, repeatable workflows by arranging data-cleaning, transformation, statistical-analysis, charting, and machine-learning steps in a visual pipeline, then save sessions or export results. Pivot opens CSV, Excel, Parquet, and JSON files and can connect to PostgreSQL, MySQL, SQL Server, or SQLite. It includes interactive charts, statistical tests, regression and other models, plus a local AI assistant that turns natural-language requests into pipeline steps. Data and the AI assistant run on the user's machine. An optional Model Context Protocol server lets external agents build workflows programmatically.
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Zuar Runner
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Utilizing the data that's spread across your organization shouldn't be so difficult! With Zuar Runner you can automate the flow of data from hundreds of potential sources into a single destination. Collect, transform, model, warehouse, report, monitor and distribute: it's all managed by Zuar Runner.
Pull data from Amazon/AWS products, Google products, Microsoft products, Avionte, Backblaze, BioTrackTHC, Box, Centro, Citrix, Coupa, DigitalOcean, Dropbox, CSV, Eventbrite, Facebook Ads, FTP, Firebase, Fullstory, GitHub, Hadoop, Hubic, Hubspot, IMAP, Jenzabar, Jira, JSON, Koofr, LeafLogix, Mailchimp, MariaDB, Marketo, MEGA, Metrc, OneDrive, MongoDB, MySQL, Netsuite, OpenDrive, Oracle, Paycom, pCloud, Pipedrive, PostgreSQL, put.io, Quickbooks, RingCentral, Salesforce, Seafile, Shopify, Skybox, Snowflake, Sugar CRM, SugarSync, Tableau, Tamarac, Tardigrade, Treez, Wurk, XML Tables, Yandex Disk, Zendesk, Zoho, and more!
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