Business Intelligence
In 1958, the business intelligence term was first used by Hans Peter Luhn, the IBM researcher, at one of its magazine articles entitled A Business Intelligence System. He predicted business intelligent systems which is used currently. His main definition of business intelligence is as follows:
He described business as: “a set of activities which are done for any purpose such as science, technology, commerce, industry, legal, government, defensive industries and etc. Communications possibilities that served to guide and direct business can be business intelligence system.”
The business intelligence is business management which including systems and technologies to collect, access and analyze data and information about company operations. The system help managers to have wider knowledge about effective factors in company operations- such as measuring criteria for sales, manufacturing and internal operations- and also enable to make more better commercial decisions.
Intelligence in new world
- Quick flexibility
- The most quick response proper to changes and according to constraints
- The most appropriate response varies with the best response
- Creativity
- Creating profitable opportunities
Infrastructures Enabling Business Intelligence
- Organizational architecture
- Data implemented in the form of data warehouse
- Technical skills
Business Intelligence Motivators
- Current commerce and market quick changes
- Necessity of quick response to changes
- Managers need to applicable information at appropriate time and location
Business Intelligence Goals
- Accessibility to data often interactive and sometime immediately
- Integrating data
- Providing data for managers and analyzers to make a quick and reliable decision
- Creating continuous diagram of the organization index growth or decline trends
- Data metamorphosis to information, decisions and activities
Business intelligence services:
- Determining the information required by each component of the organization and sources providing information
- Examining current, automatic processes and providing solutions for methods that are obsolete
- Setting up the decision portal and gathering information
- Identifying parameters that are effective and important
- Creating different clusters of information
- Designing a decision tree and implementing it
- Plans the direction of the data entry port
- Designs the data model
- The possibility of importing data from different and heterogeneous databases
- The possibility of deleting, checking and combining data in the purification model
- Information storage
- It stores all information in a central repository in real time
- The possibility of including algorithm and security considerations on the output port
- The possibility of explaining the rights that are needed to access information and data
- The possibility of preparing information for the use of end users
- Installs and integrates analytical reporting counters on the database
