Analyzing the problem
When IBM engaged Timbergrove to assist with the United Airlines project, the airline was dealing with prohibitive processing speeds when updating and syncing their bin replenishment system. This wait time affected maintenance efficiency and had the potential to cause or exacerbate flight delays and ultimately cost them fines.
Upon analysis, we found they were experiencing inconsistencies related to data synchronization between IBM Maximo and the backend system. United required the ability to scale integration and migrate data from legacy systems to IBM Maximo at a faster rate.
United Airlines sought to improve its unresponsive systems, lack of data consistency, and slow processing speeds.
To add to the complexity, the integration carried several interdependencies:
The data model between IBM Maximo and the legacy system could not be homologated
Information flowing between the systems had to comply with existing business rules
Responsiveness and consistency was key to acceptance of the solution
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Implementing the solution
Timbergrove's recommended solution for the United Airlines project involved leveraging the existing IBM components, and implementing an event-driven data synchronization solution.
Timbergrove helped United Airlines by:
Simplifying and enhancing the existing IBM Maximo capabilities related to project scale
Resolving the data synchronization issues
Improving IBM Maximo data consistency across the enterprise
Enhancing IBM Maximo responsiveness to real-time data changes
Speeding up integration time and reduce time required to migrate data into Maximo
Providing a framework for integration that did not require coding.
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Results
United Airlines was able to realize improvement in the responsiveness of the systems—and locate each part or tool needed for maintenance—from minutes to seconds. The synchronization of the legacy system to IBM Maximo was successfully implemented while managing the complexities of the heterogeneous environments. Updates from its legacy system to IBM Maximo increased data accuracy, reliability, and timeliness.