DataMatch
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.
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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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ArchiverFS
5.0 out of 5 stars
(3 Ratings)
ArchiverFS is a lightweight file archiving solution for servers and network storage that lets you use any NAS, SAN, or cloud platform as second-tier storage. With no databases or proprietary formats, it runs on pure NTFS from start to finish. Old, unused, or unstructured files can be moved in bulk from expensive primary storage to cheaper secondary devices while preserving directory structures, attributes, and permissions. If it can be formatted with NTFS and shared via a UNC path, ArchiverFS can use it. Features include support for cloud, DFS, replication, de-duplication, and compression. Optional link stubs (including seamless symbolic links) can be left in place of moved files, so users see them exactly as before. By reclaiming valuable space on primary storage without adding complexity, ArchiverFS helps organizations reduce costs, improve performance, and manage file growth with complete transparency.
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Match2Lists
Match2Lists is the fastest, easiest and most accurate way to Match, Merge and De-duplicate your data. With Our Match2D&B option, you can enrich your data with Dun & Bradstreet information on-demand. 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.
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