why amm

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.

 

The Mapping Manager toolset enables automation, acceleration, best practices and data mapping standards for any project involving movement of data.

— John R. Talbert Ph.D, - University of Arkansas at Little Rock, College of Information Science and Systems Engineering & Director