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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.
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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.
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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.
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