At the heart of the Management Cockpit design is the establishment of a KPI framework that reflects the bank’s strategic development objectives. This framework must take into account historical performance, current operational status, and future strategic direction. For a large state-owned commercial bank, this includes understanding the institution's lifecycle within its macroeconomic environment and internal context, enabling timely adjustments to its strategic roadmap.
The cockpit prioritizes and organizes indicators based on relevance and importance to the management team. Upon logging in, executives are presented with a visualized dashboard of all key performance metrics they care about—providing real-time insights into operational performance and resource availability.

The display layer is tailored to the management characteristics of large state-owned commercial banks. It offers modular, customized views for different business domains—including financial indicators, peer benchmarking, and internal operational metrics. Each metric can be visualized in multiple formats, such as dashboards, bar charts, pie charts, line graphs, and radar charts.
The presentation layer also offers a highly interactive experience. Users can click on individual indicators to drill down for further analysis. Common analytical methods include correlation analysis, variance analysis, trend analysis, hotspot identification, and comparative benchmarking.

The analytical engine of the cockpit supports the full cycle of problem discovery, root cause analysis, and resolution:
Problem Discovery: The system continuously monitors key indicators, identifying deviations in business performance. Such deviations signal potential issues that warrant deeper investigation.
Root Cause Analysis: By comparing metrics across time (YoY/MoM), dimensions (branches, departments), and industry benchmarks, the system enables multi-angle diagnostics to pinpoint the underlying causes.
Issue Resolution: Executives can drill down to the original business data, correlate findings with strategy execution status, and identify gaps or inefficiencies in processes. This allows for continuous optimization of operations and informed decision-making.