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Data Mapping Challenges
- Manual : Data mappings are currently 100 % manual.
- Non-Standard : Organizations are required to identify a mapping process every time a new project has commenced.
- Error Prone : Multiple resource manual entry of mapping information often leads to error prone mappings from miscommunications, overwrites, and data entry errors.
- Time Intensive : Data mappings require multiple resources to work iteratively to define accurate mapping rules.
- Cumbersome Versioning : Lack of traceability and audit controls.
- Lack of Visibility : No visibility into mapping assignments and statuses. Difficult for stakeholders to manage and control the mapping process
AnalytiX Mapping Manager Data Services helps with:
- Enable Automation : Mapping manager enables system metadata lookup and transformation reuse.
- Leverage Industry Standards : Mapping manager leverages industry best practices and mapping standards to create a seamless process which does not require resource retraining.
- Enable Collaboration : Mapping manager allow many users to work and collaborate on mappings with out overwriting or confusing multiple versions.
- Reduce Resources : Fewer mapping analysts are required to manage and control mappings due to built in automation and efficiencies.
- Enable versioning : Mapping manager contains version controls which enable better maintenance of mapping specifications.
- Enable Visibility : Mapping manager enables all stakeholders access to mapping lifecycle analysis to ensure prompt visibility into data integration projects.