Industries

Overview and Challenges

In the finance and financial services sector, there is a high demand for organizational tools from large internal IT organizations that develop custom applications for their companies. As consolidation occurs among financial institutions, the successful visualization and management of complex business relationships provide a tremendous competitive advantage to these organizations.

Risk and impact analysis applications generate extremely complex relational structures that quickly overwhelm traditional diagramming software. Commercial banks rely on wholesale loan ownership relationships, and investment banks derive a competitive trading advantage when properly managing the rule graphs that occur in fixed income trading. Activity-based costing applications rely on directed graph representation to visualize how expense is allocated to different business functions. Diagrams are also useful for data analysis in call center, fraud detection, and portfolio optimization applications.

Tom Sawyer Software Solutions

Risk Management

Risk management is crucial for financial institutions and corporations. Graphical analysis of financial models reveals potential negative financial exposure and lets users analyze risk in multiple scenarios. With graphical representations of all relevant information, financial institutions can accurately guide their risk management practices. Our products provide the necessary visual interface to allow accurate portfolio valuation and risk measurement at any given time. Because our products comply with industry standards, they integrate easily with any simulation, pricing model, or optimization software modules.

This hierarchical nested graph drawing employs orthogonal edge routing, edge labeling and image nodes to represent credit card usage for one household.

Fraud Detection

Automatically generated diagrams depict transactions between financial institutions and entities (e.g., people, accounts, companies, etc.) revealing relationships that are illegal. Data from multiple sources can be graphically displayed and laid out to expose relationships that were previously considered unrelated. These kinds of graphical solutions make it easier to detect and analyze patterns in data so that potential fraud can be quickly addressed and dealt with.