BIGDBM
5.0 out of 5 stars
(5 Ratings)
BIGDBM is a leading US data provider with 7+ years of experience building identity graphs with a focus on ROI, privacy, and quality.
Unlock significant value in your marketing campaigns, lead generation strategies, and identity verification workflows with our US consumer and B2B datasets.
Utilize the self-service BIGDBM Data Market for easy and affordable audience/list generation and custom appends.
Identify website visitor traffic using our WeVi product suite of real-time data collection via pixels and real-time identity resolution APIs.
Popular products:
- Telecom-verified phone numbers>consumers
- IP>consumer and IP>company domain linkages
- Verified consumer emails
- Consumer and B2B intent
- Consumer demographics and behavioral affinities
- Residential and commercial property owners and contact information
- MAID>consumer linkages
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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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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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NetOwl EntityMatcher
NetOwl EntityMatcher provides accurate, fast, and scalable identity resolution based not only on similarities of the entity names but also other key entity attributes such as date of birth, place of birth, address, and nationality. Identity resolution can also be based on social network information such as employer, spouse, associate, etc. NetOwl performs identity resolution based on any combination of available entity record attributes by utilizing its unique proprietary search and indexing engine that allows combination of evidence from multiple matching attributes in a highly robust, scalable, and intuitive fashion. Application-specific business rules can be implemented by determining what combination of record attributes should be matched and what weights should be assigned to each attribute. NetOwl leverages our machine learning-based multicultural, multi-lingual name matching product, NetOwl NameMatcher, to enable sophisticated name matching of various entity types.
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