Support strategic goals with component-based transformation
Support the strategic goals of your financial management firm with component-based transformation and reuse components across multiple processes. Extend and share common enterprise processes such as procurement, human resources and accounting to transform your institution. Streamline and integrate disparate processes across your enterprise. Unify your organisation and alliances to more quickly respond to market changes with a single common framework.
Accelerate business transformation with innovative services and business models from IBM. Component-Based Business Modeling (CBM) is a methodology that helps to identify unique, standalone building blocks that comprise your firm as a whole. The Information Frame Work (IFW) is a comprehensive set of financial markets business models that represent best practices. Together they can help you view your business as a set of components and then you can model streamlined, efficient ways to integrate your disparate processes and entities. The IFW models contain deep finance business content and have been developed over the past decade in conjunction with numerous global financial institutions.
Modeling a business as a network of components can lead to improvements in three critical areas:
- Efficiency view business activities as autonomously managed components that can be optimised individually for greater value to the whole business.
- Strategic planning identify and prioritise the correct initiatives for delivering business value.
- Flexibility cut through historical boundaries that may have built up along organisational, product, channel, customer, geographical and informational lines.
 |
 |
Information framework banking data warehouse from IBM |
|
Transform your financial institution's cross-enterprise architecture. As part of the Information FrameWork, IBM offers a business model to help you consolidate data and bring analytical information from various business units together-relationship marketing, profitability measurement and risk management. |
 |
|
|