Collaborative Workflow Architecture

The connection of operational metrics with financial metrics using the platform permits the creation of the highest visibility of network cost drivers. The organizational data structure is advantageous for comparing performance across different levels, from individual to the entire network. Though the initial setup required the cooperation of the finance and IT departments, the now efficient interfaces have made it possible for analysts to independently manage and update the models we need as we change.

The key points are the use of modeling for contingency planning around fuel prices and currency rates, hierarchical data structures helping facilitate various levels of analysis throughout the organization, and the contribution analysis capabilities offering insight into financial performance drivers across the network.

IBM Planning Analytics provides our company with the possibility to do integrated financial and operational planning, thus ensuring alignment between fleet strategies and financial projections. Instead of the static annual budgets, we now do incremental forecasts and update them every month, contributing to more flexible financial guidance. The most important thing is that we are now using planning models, which will automatically adjust the financials according to the operational metrics, smoothly reminding us of the change in market conditions.