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     Banking System

Also see: Introduction to Rabis  and Enterprise Banking System Case Study


The system allows the user to perform a complex analysis of the financial state of a bank and its affiliates, to plan income and expenses, and to analyze the loan portfolio of a bank.

Rabis has built-in methodologies, however, the system's flexibility permits the economist/treasurer of the bank to independently develop his own methodologies and build his own indexes. The complex is a set of universal tools that facilitate the analysts to make the best use of the analytical methods and algorithms built in the modules store. These include 'Task builder', 'Index Builder', 'Report Editor' and a block of graphic analytical tools for handling input data. This means that the banking analyst does not have to constantly keep in touch with programmers. It also allows him to manipulate data archives, create his own indexes and estimation coefficients, and analyze them both digitally and graphically for any desired time period.

The user-friendly and intuitive interface and data tools make it possible even for dummies at programming languages to create an advanced analytical data storage for the whole bank.

The advantage of the system is that it is not linked to a particular trading day, it is standalone and can be applied to any date. The complex has been in commercial use at several banks of Russia since January 1996.

The Basic tools of the RABIS-ANALYTIC complex (version 2.5) are the following:

bulletForming tasks for credit loan portfolio analysis.
bulletTools for administering and maintaining the complex.

The RABIS-ANALYTIC system is implemented in client-server architecture. It was developed with RDBMS ORACLE7 and ORACLE Developer/2000. All the initial data are stored on the server, with the Applications Server or the client sides storing the description of calculation methods and calculation histories for each task. The Application Server or the software client analyses the structure of data necessary for the calculation and organizes the optimal request on the server, calculates the index and reserves the calculation results for further analysis. Such architecture can be dramatically simplified if all the calculations are effected on the server while the client is using only the "screenshots". The working experience of our local banks says we moved from the latter option to the former by increasing the data volumes, number of users and the calculation complexity. Handling several branch offices implies that all the basic calculation methods and algorithms are worked out by the economists at the bank's main office and distributed down to the branch offices. Economist at the branch offices can be authorized to correct given methods.

The complex gives every user his own customized information space that has its own methods, index sets, reports. The built-in import-export system permits the sharing of calculations with other users.

 


 

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