Database systems business intelligence for economic development

Economic development policy is measured by employment opportunities, workforce development and business retention and expansion. Business Intelligence systems are used to improve economic development, workforce development and business retention and expansion.
Business Intelligence systems for the corporate retention and expansion (BRE) are designed to store and report on data for the multi-dimensional, holistic strategies for economic development. They help decision making, using communication technologies, data, documents, knowledge and analytical models to identify and solve problems.

Business Intelligence Database Systems offers a wide range of solutions for communities, regions and states that want to maximize the return on investment from their retention and expansion programs. For example, in one State, existing companies make up its existing economic base. These companies offer existing jobs and tax base for local and state law. They also create new jobs, and in fact, studies show that 60-80% of future job growth comes from expansion of existing businesses.

Business Intelligence tools database software to make use of community profiling for the evaluation of community activities. They also have a professional help in the site location consultants advising businesses on the most likely location for business and / or relocation. Economic development measures such as creating jobs, economic output and the tax base is stored in the database business intelligence system.

Development of the questionnaire is a big part of business intelligence systems databases. Each community has unique needs and characteristics that should be addressed with its Business Retention Survey. The survey should be customized or tailored to measure the important parameters for economic development purposes.

Example of a Business Intelligence system for the Society of Economic Development

Database Systems business intelligence can be classified into two main types: model-driven and data driven. Model-driven systems tend to utilize analytical constructs such as prediction algorithms, optimization, simulation, decision trees and rules engines. Data-driven systems according to the data warehouse, database and Online Analytical Processing (OLAP) technology. These systems provide tools necessary for effective economic development and site selection analysis. The database provides the information needed when considering a business expansion or transfer of ownership, including the research site-specific demographic analysis, industry mapping, and geographical advantages.

An example of a business intelligence system that can be customized to individual company needs is economic development Executive Pulse. This system has been widely implemented in the United States and Canada. The company's website also features a free newsletter with excellent articles on the retention of existing business .......