The income structure analyses and analyses of long-term

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 data sets. 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.

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Next, the Banking Industry will using the assets and liability management ( ALM ) system. The ALM is a process of managing a bank’s liabilities and receivables, aimed at establishing 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 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.

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.