Some of examples of problems for financial institutions are:

• Anti-Money Laundry: Anti-Money laundry as defined by Banking laws and regulations requires the analysis million of transactions a day. This can only be carried out with very specific and complicated process detection requiring both technology and expertise in this area.

• Fraud Detection: Detecting fraud is no easy task. Each industry is faced with unique and daunting challenges. Some detection is dependent on recognizing a fraudulent transaction as it occurs.

• Risk Evaluation: This is concerned with the activity of bank such as: loan, credit, funds, brokerage and also managerial and compliance issues.

• Regulation Compliance: Financial organizations are under increasing pressure to comply with complex and strict global regulations, such of Basel II, Fraud and Anti-Money Laundering (AML) legislations. It is vital for financial institutions to stay in compliance with the financial industry's ever-changing rules and regulations.

There are a number of standalone packages on the market that offer to help financial institutions solutions. However those solutions only tackle one particular financial problem at low level. Financial institutions require a solution that does more than a local and low level analysis for a particular challenge (i.e. credit scoring solution, AML solution as individual entities but how do those solutions fit the processes of the business strategies). Another example is that government regulations apply to all the financial institution but the compliance strategies are specific to each bank. Clearly the analysis of Financial Institutions pains in implementing business strategies reveals that the above challenges are:

• Are not independent from each other.

• They are cross-departmental within the organization.

• They are also horizontally dependant.

• Require broad and specific financial expertise.

• Understanding customers.

• Lack of standardizing and streamlining well established processes within the business strategic context.

• Automation of the overall financial processes in the context of financial business strategies to in order to execute your strategies effectively.

• Large amount of data available from which to extract actionable knowledge.

• Capture their various financial business processes in the context of business strategies.

• Automation of the various financial business activities in transparent and flexible way to execute your strategies effectively, and implement customer-centric approach.

• Be able to run what-if scenarios, ask the question "why" and "how" a particular decision or action needs to be taken.

• Streamline the business processes used by financial institutions to do and run their business across the whole enterprise.

• Ensure control and transparency across the whole business vertically and horizontally.

• Make sure that they are complaint within their specific financial business strategies. Make costly compliance issues would become a thing of the past by coping with the ever-changing rules and regulations.

• Define and act on a complete view of corporate risk within the context of business specific and complex strategies.