The Modern banks will operate the organisation with using business
intelligence application for effectively to achieve the goals set by the
banking industry.

Firstly, the data warehouse ( DW ) software is organised in a manner
convenient for conducting analytical process on large datasets. A data
warehouse also contained a copy of data separated from operational databases
and structured specifically for reports and analyses. Moreover, Data mining
software is also important segments for dealing with complex statistical
analyses and discovering the hidden relationships between data and forecasting
the behaviour trends of business systems.

Next, the Banking Industry will use the assets and liability management (
ALM ) system. The ALM is a process of managing a bank’s liabilities and receivables,
aimed at gaining profit and risk balance, establishing a relation between the
liabilities and receivables, and controlling the impact of risk on the bank’s
operations and financial results. This software also available to generate the complete
set of internal reports with starting from balance sheets, liquidity analysis
and cash flow, down to maturity and interest rate structure. Hence, the ALM is
providing good profitability levels in banks, efficient asset liability
management, and control over the banking risk management. Lastly, it also
includes income structure analyses and analyses of long-term syndicated loan
agreement analyses.

The next software is risk management software. The risk management
software is a processing with identification, analysis, measurement, control
and reporting to achieve the goals and individual business activities. So that
the credit risks, market risks, interest rate risks, foreign change risks,
liquidity risks, operational risks, reputational risks should not endanger the
bank’s safe and stable operation.

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Besides that, the OnLine Transaction Processing (OTLP) role is to support
daily business transaction activities with entering and processing payment
orders, entering and processing deposit and loan contracts, recording
transactions, commission processing and interest rate transaction.

Lastly, the OnLine Analytical Processing (OLAP) software enabling the user
such as analysts and managers to gain insight into data in a quick, consistent
and interactive. The OLAP also enable the users quickly and easily and
translate them into information in an almost unlimited number of ways.

In conclusion, the business intelligence application support to
high-quality and timely decision making in asset and liability management.



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