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Transform Data Mapping with SmartMapper

Published:
10:21am Mar 02, 2022

Mapping is a fundamental part of the integration lifecycle, but it’s often a very tedious, difficult process. Virtually anyone who has ever attempted any type of mapping project can attest to the long hours and countless attempts that go into completing an integration mapping. Several factors contribute to the challenge:

  • There aren’t any naming standards because different connectors have their own naming conventions, element structures, and custom schema objects
  • The mapping process requires specialized, in-depth knowledge of the data fields on the source and target systems, which requires users to know which mapping will be used for output versus input
  • Productivity is lost due to large numbers of cases and elements that require mapping  

Currently, most application integration shops are limited to two options for mapping: manual or auto: 

  • Manual mapping requires mapping data fields from source to target systems for every connector, integration, or automation
  • Auto mapping provides simple automation that allows you to map elements with elements that have exactly the same name and elements in the same level. And because auto mapping doesn’t consider the element’s data type, elements that have the same name are mapped to one another even if the data type doesn’t match   

The next generation of auto-mapping is powered by machine learning (ML) and transforms the mapping process while greatly reducing the time you spend on mapping data. TIBCO’s SmartMapper Solution, which is embedded in TIBCO Cloud™ Integration, provides: 

  • Next-generation, ML-powered auto-mapping features
  • Enhanced ability to auto-map the elements for mapper activity in large and complex projects
  • MATCHES elements based on similarity metrics: Name, Type, Depth, Cardinality, and Adjustable Ancestor Weight  
  • ADJUSTS levels of recommendations: Basic/Advanced (nested, arrays, for-each), and tunable parameters
  • LEARNS based on human inputs: Updates based on past actions, providing contextual results 

Important Features included in SmartMapper:

  • Intelligently matching of the source element and target element by comparing their names, ancestors, types, depth, and cardinality
  • ML-enabled parameter tuning for better data mapping, even in large complex projects
  • Simplified basic functionality such as mapping, on the basis of similar or exact names, powerful for advanced use-cases and tuning parameters
  • Recommendation based mapping; Users can control and select the matching recommendation elements
  • Learning and verifying tool to compare matching with the previous human selections to provide better matching results
  • Accelerates the speed of the development process data integration process  

Watch the TIBCO SmartMapper Demo and learn more about TIBCO Cloud Integration and the new SmartMapper capability!