Problems We Solve: Data Mapping, Record Matching and Ongoing Governance

RecordLinker lets you create system conversion logic, match and deduplicate values, as well as handle day-to-day enterprise admin jobs.

Data functions end up juggling screens and spreadsheets, writing formulas and SQL joints, or taking several clicks to configure a single record.

Your experts focus on high value contributions while we handle the grunt work.

High-Capacity Engine for Busy Data Teams

Your Data Conversion Analysts and Business Systems Analysts get an environment for consistent, efficient, and replicable data work. Eliminate grueling Excel or SQL mapping and transformations during data migration projects.
Your Enterprise Administrators and Application Specialists get a bulk-engine for performing multiple updates and creation operations. Turn repetitive, multi-click tasks and weekly admin bottlenecks into hours of focused large scale updates.

Speed Up AMS Vendor Conversions with Auto-Mapping

RecordLinker - OldNew auto-mapping for Applied Epic - SmartMap auto-mapping for AMS360
Increase Conversions Throughput

Build AI‑Assisted Conversions with RecordLinker Cognition

RecordLinker Cognition - system conversion logic for Agency Management System conversions - automated column mapping and transformations
Power Up Data Teams with AI

Simplify Ongoing Data Management with Bulk Edits

RecordLinker - bulk edit engine - enterprise administration for Applied Epic and AMS360
Make Enterprise Admins Happy

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Efficiently Convert and Harmonize Your Data

With RecordLinker you can standardize your input data based on names and identifiers. Our Machine Learning will auto-map records that pass a confidence threshold.

Whenever Machine Learning is not sure what to do, we will let your data conversion specialists decide on their own based on ML suggestions, manual search options, and industry-wide external sources of data. Your teams can label problematic items for investigation as well as leave comments and attachments.

RecordLinker knows various data formats and constantly gets updated with new ones. Your experts don’t need to waste time on deciphering how to handle data from input systems they may not even know.

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Standardize and Dedupe Your Data Mart

Deduplicate, merge, and standardize records from your data marts to achieve holistic view of business and operations.

With data coming from various systems into your data mart, you may find that you end up with duplicate records, differences in naming conventions and codes for identical things. RecordLinker helps you overcome that to consolidate analytics.

Our Machine Learning solutions helps you identify and merge records that mean the same thing.

Regardless whether it’s data conversion, standardizing core system reference data or an entire data mart – everything happens in a single consistent UI that is agnostic to data formats and category of data you are working on.

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Improve Data Governance and Increase Data Quality

To effectively map or standardize input data, you need to ensure that what you are standardazing to is pristine.

RecordLinker can inform you about misspellings and incorrect identifiers assigned to companies, products etc. Then our Machine Learning suggests a possible way of correcting these errors. It can help you solve years of errors and lack of maintenance of data in your core system.

RecordLinker can also help you keep track of changes that happen in your industry (e.g. for insurance, companies tend to merge and change names). Based on an industry standard source of your choice, we may help you track the history of these changes. Thanks to that, you will always standardize to updated reference records.

When you edit, merge or create reference records in RecordLinker, our ML goes through mapped input data and accordingly reassigns anything that was previously pointed to your golden set of records.

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