Automated decision support
Encyclopedia
Automated Decision Support, or ADS, systems are rule-based systems that are able to automatically provide solutions to repetitive management problems (Turban, Leidner, McLean and Wetherbe, 2007). ADSs are very closely related to business informatics
Business informatics
Business informatics or organizational informatics is a discipline combining information technology , informatics and management concepts. The BI discipline was created in Germany, from the concept of "Wirtschaftsinformatik"...

 and business analytics
Business analytics
Business analytics refers to the skills, technologies, applications and practices for continuous iterative exploration and investigation of past business performance to gain insight and drive business planning. Business analytics focuses on developing new insights and understanding of business...

.

Automated Decision Support systems are based on business rules. These business rules can be created or operated by the business analytics. The business
Business
A business is an organization engaged in the trade of goods, services, or both to consumers. Businesses are predominant in capitalist economies, where most of them are privately owned and administered to earn profit to increase the wealth of their owners. Businesses may also be not-for-profit...

 rules can trigger an automatic decision that is part of the business informatics.

ADSs are most useful in situations that require solutions to repetitive management
Management
Management in all business and organizational activities is the act of getting people together to accomplish desired goals and objectives using available resources efficiently and effectively...

 problems mostly using electronically available information. The required knowledge and relevant decision criteria must be very clearly defined and structured. The problem situation at hand must be clear and well understood.

Components to ADSs are also provided by software development companies. The following components are provided:
  • Rules engines
  • Mathematical and statistical algorithms
  • Industry-specific packages
  • Enterprise systems
  • Workflow applications


(Turban, Leidner, McLean and Wetherbe, 2007)
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