Information is the most expensive wealth of organizations. It shows the value Of organization and how important it is to know how to use this wealth.
Today, with the expanding of databases and huge amount of data, it needs something to process data and gets some reports for high level of management, So that management can improve organizations with these reports and updated Knowledge.
Then it's clear that we need information systems that obtain information from the Databases.
Insurance databases and medical systems are some examples of such a database.
The old method of getting information from data was based on a manual system It was manager's duty to obtain information and analyze them throw searching from Large amounts of data and then create a report with detailed analyses for senior Management.
Then the management, in turn will use these information, solely to implement the strategy of their organization. Further more this information can simultaneously be used for planning of the company.
For example one analyst of data will study the patient's expenses in intervals/period.
In this case an analyst will develop a report outlining the break down of expenses made over a time period over a month or quarter the hospital.
Generally, in old methods of getting knowledge in since marketing, business, Insurance, medical, etc... We need some intermediary bodies allow end-users to access data witch they may require.
Such methods pose many downfalls .the major disadvantage is time-consuming. Other downfalls of these methods are include the cost aspect and dependency on relevant analyst(s). Additionally analysts can not produce total pattern with high degree of reliability. (Old searching will not cover all available patterns )
Their patterns were based on their mentality and they can not discover all of the patterns.
Data warehousing technology able users to gather all of patterns and hidden Relation of data in huge amount. It can discover rules with high reliability and "accuracy" . Data warehousing is a good idea to remove restrictions such as personal mentality, wrong declaration, losing data (insufficient data), and long time to Process and obtain an "pattern" and check the validity of that because of huge amount of data.
In old methods of discovery knowledge if data was in huge amount these methods was not even able to process and if gather a pattern from that it will be unreliable and there is not enough integrity .after the digital revolution (we have access to Save huge amount of data easily and not costly) this method was grew up very Fast .in general applications the size of a database will grew up in following Cases
- We add data into database daily for example in insurance system or hospital System or drugstore system we have new dates such as customers or new employees or .. .and if we distribute it throw web site the increasing of data will be very fast.
- We need more properties of objects in database like we want to add one extra Field likes age of customer to our database or we want to add history of diseases in patients profile in medical system.
It’s clear that analyst cannot analyze hundreds of these fields. With this introduction we have to use automatic system and computerize it.
Computers can gather and save more information than human then it's clear that we have to use computer techniques. Data warehousing and data mining are the new Tools to get information from the huge amount of dates and give it to managers And professional for more process and get plan of the organization.
