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Recognize patterns in data that explain why a match may belong to the same person even though values do not match exactly
Recognize potential false-positive matches such as twins and jr/sr
Precisely Classify matches as ‘Yes, take it to the bank these records belong to the same person’ or ‘Maybe: further research is necessary”
Auto-match rate improves with each new data source and link
Automatically un-link records when an overlay or other significant corruption has occurred
Highly accurate matching out of the box, full control over each stage of match algorithm tuning
Shrink the number of matches that require manual research by 80% or more
When matches lack enough information for an automated decision, engage the 45B records in the LexisNexis database
Flag stale data
Track changes to demographic information by source data over time
Get real-time data in and out with RESTful web services
For bulk updates, load records and retrieve results using flat files
Subscribe to events that let you know when an enterprise ID or Golden record has changed
Avoid overwriting good information in transactional systems with stale data from outside
Control what information can be updated
Keep track of changes to data
Data integration is the most complex part of an EMPI project. Occam simplifies it with out-of-the-box support for most integration patterns.
Your team has enough to do. We take care of setup, training, maintenance, and upgrades.
Occam is licensed by the number of unique individuals in your database, so you won’t pay multiple times for the same patient.