How to plan the decision analysis system in the business intelligence system of the agricultural firm?

In the agricultural firm, the decision analysis system in the business intelligence system generally has the following construction requirements:

1. the establishment of a unified, long-term data platform to achieve historical data trends, chain, year-over and other situations analysis;

2. according to the subject requirements of the effective processing analysis data management Department requirements of the analysis report;

3. through the rich graphic display to express the business data situation, so that the leadership more intuitive, comprehensive understanding of the business situation. ;

4. The effective use of data, mining and analysis of the Analytical Management Department requirements of the analysis of data to provide scientific and effective leadership decision-making basis.

In the construction of decision analysis system, we also need to follow the following principles:

1 , take the leading decision-making analysis as the guide, through the system to show, for the management to provide data support;

2 , business scope to deposit, loan, income-led analysis method, based on the level of data access layer drilling;

3 , the system takes the time points, the daily average number as the factor, to the period (beginning, early month, available, yesterday) carries on the year, the chain, the drilling, the linkage and so on processing way;

4 , the main presentation way according to business, for example, can be displayed by histogram, line chart, pie chart;

5 , the system is mainly practical, in line with the direction of management orientation.

An example of analysis dimension of decision system in agricultural firm

650) this.width=650; "src=" Http://s3.51cto.com/wyfs02/M02/76/39/wKioL1ZNbfjhxDKyAAEnUl6c8VU096.png "title=" 1_ copy. png "alt=" Wkiol1znbfjhxdkyaaenul6c8vu096.png "/>650) this.width=650; src=" http://s3.51cto.com/wyfs02/M00/76 /39/wkiol1znbgttsjl3aada1jbust0468.png "title=" 2_ copy. png "alt=" Wkiol1znbgttsjl3aada1jbust0468.png "/>

650) this.width=650; "src=" Http://s2.51cto.com/wyfs02/M01/76/39/wKioL1ZNbhvyuwKNAAE0iOqSOdc342.png "title=" 3_ copy. png "alt=" Wkiol1znbhvyuwknaae0ioqsodc342.png "/>

650) this.width=650; "src=" Http://s1.51cto.com/wyfs02/M02/76/39/wKioL1ZNbinDjZa6AAC981hgTVg231.png "title=" 4_ copy. png "alt=" Wkiol1znbindjza6aac981hgtvg231.png "/>

650) this.width=650; "src=" Http://s4.51cto.com/wyfs02/M00/76/39/wKioL1ZNbjug4LvTAAB70nQ3uDc064.png "title=" 5_ copy. png "alt=" Wkiol1znbjug4lvtaab70nq3udc064.png "/>650) this.width=650; src=" http://s3.51cto.com/wyfs02/M00/76 /3a/wkiom1znbfoh-m6vaadekxsbhc4431.png "title=" 6_ copy. png "alt=" Wkiom1znbfoh-m6vaadekxsbhc4431.png "/>

A description of several typical bank decision system dimensionsTarget Sales

The main purpose is to use the predictive model to determine and select the object and target of sales;

Risk analysis

The method of data mining has been widely used in the establishment of risk model, including approval model, behavior model, overdue model, bankruptcy model, etc.

analysis of customer profit contribution

Establish the distribution of gold customers, profitability customers and non-founding customers according to the forecast model and customer contribution analysis;

analysis of Key management indexes of Banks

including deposits, loans, non-performing assets and other indicators of changes in comparative analysis;

Credit Value/estimates of potential value

has been widely used in North America, mainly through the analysis of the potential value of customers, in favor of the bank according to the customer's credit value and potential value to adopt different strategies;

Predictive Analytics

Forecasts are mainly used for sales forecasts, interest rate forecasts, and forecast of cost costs. The use of data mining method will greatly improve the future planning and management level of banks.

How to plan the decision analysis system in the business intelligence system of the agricultural firm?