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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Lead to Account Matcher
The Lead to Account Matcher (L2A) is a Salesforce application aimed at assisting teams that use an Account-Based Marketing (ABM) strategy, streamlining the process of relating leads and converting leads into existing accounts in your database. We offer this tool as a one-time fee; no subscription is required. If you have leads coming into your Salesforce org for companies that already exist as accounts, using our fuzzy logic matching, we can match to an account, even when the name is not entered exactly the same. When converting a lead to an account, our matcher also looks for matching leads that exist for the company and allows you to bring over all or none of them, with a click. Because our Lead to Account Matcher is built using custom settings, we give the ability to change matching thresholds, eliminate specific words from the matching algorithm, and change what fields are displayed on the matching layout. All are done through user configuration, no code is required.
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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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LinkageWiz
Powerful Probabilistic Data Matching algorithms are used, using common identifiers such as name, date of birth, sex, address, SSN, business name and many others. Data can be imported from a wide range of desktop and corporate database systems. Data matching software will enable the detection of up to 99% or higher of all potential matches. For business this can represent considerable extra potential revenue or cost savings, increased fraud detection and, for medical research can mean the difference between a successful research project and one that failed to report any significant findings. LinkageWiz is fast, user friendly and represents outstanding value as it bundles many of the features provided by many other separate products into a single stand-alone package.
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