In order for the users to the financial data warehouse to analyze historical performance of corporate operations, you need to make sure that these vital business rules are modeled into your data warehouse.
This is called business intelligence. Business intelligence is what added value from a printed report, to where the model itself can explain exceptions and variance in your data.
A financial data warehouse developed with a focus on human resources data will be able to answer questions about Monday sick leaves, tend in wages for certain departments and other questions related to providing financial analytics for employees in the human resource department.
However, this business intelligence is in most companies mainly located in the heads of salespeople, senior managers, accounting departments and other key people in your company.
The challenge is to transform all this valuable knowledge into rules sets in your data warehouse.
Users of the system are never a very homogenous group, request are coming to the financial department today from east and west for a wide variety of information.
There are a few reasons why this will change. On the contrary, you will probably see an explosion of requests to the system, and to what data it will contain when it goes live.
Thus it is important to conduct in depth research when modeling the system.
Model Financial Drivers
Indo-Pakistan War Details
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The root cause of the India-Pakistan war in 1971 can be traced back to the
deep-seated political and social tensions that emerged soon after the
independen...