Decision Support and Business Intelligence Systems
Decision support systems help managers and analysts explore data and compare alternatives when decisions are not fully routine.
Information Systems
Summary
Decision support systems help managers and analysts explore data and compare alternatives when decisions are not fully routine. They typically combine relevant internal and sometimes external data, analytical models, and interactive tools. People remain responsible for choosing and checking whether results are reasonable.
Business intelligence comprises tools and practices for collecting, combining, analyzing, and presenting business data. It supports routine performance monitoring as well as less routine exploration. Interactive dashboards help users compare key measures and investigate results that stand out.
| Approach | Main role | Human involvement |
|---|---|---|
| Decision support | Explore alternatives for non-routine decisions | A person evaluates results and chooses |
| Business intelligence | Monitor performance and investigate business data | People interpret findings and decide |
| Automated decision-making | Carry out choices | No case-by-case human approval |
These approaches can overlap: a dashboard may monitor routine measures while also supporting scenario testing. What-if analysis tests how changing an assumption or decision affects a result. For example, a retail manager can compare discount levels using a forecasting model before selecting a seasonal promotion.
Unlike a standard periodic report that answers predefined questions, interactive tools let users explore new or specific questions. Their usefulness depends on data quality and sensible model assumptions.
Common Misconceptions Decision support does not replace human judgment; business intelligence is not limited to routine reporting; analytical results still require checks before action.
🧠 Key Concepts
- Decision support systems
- Business intelligence
- Analytical models
- Interactive dashboards
- What-if analysis
- Human judgment
- Data quality
- Model assumptions
- Automated decision-making
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Decision Support and Business Intelligence Systems
📘 Overview Decision support systems help people explore data and compare options for decisions that are not fully routine. Business intelligence tools help organizations analyze and monitor performance, supporting both routine and non-routine decisions. Both bring together data from inside and outside the organization, apply analytical models and present the results in forms that people can explore, so that people remain the decision makers.
🧠 Key Idea Decision support and business intelligence systems support judgment; they do not replace it. Decision support systems are especially useful when decisions require judgment and comparison of alternatives, while business intelligence can also support routine performance monitoring and reporting.
⚔️ Core Details: - A decision support system helps people make decisions that are not fully routine. It organizes relevant data and analysis for the decision maker, and the decision maker chooses. - Such a system usually combines data (from internal records and sometimes external sources), analytical models (such as a forecast or a cost calculation) and a way for users to interact with both, for example by changing an assumption and seeing the result. - Business intelligence refers to the tools and practices that collect, combine, analyze and present business data so that people can understand performance and decide better. A common form is an interactive dashboard that lets users compare results and look more closely at a figure that stands out. Business intelligence can support routine monitoring of performance as well as less routine questions, and the two kinds of system overlap: one dashboard may track routine measures and also let a manager test a scenario. - Consider a fictional furniture retail chain deciding how large a discount to offer before a seasonal sale. A manager compares past sales by region and product, tests several discount levels with a forecasting model (a what-if analysis) and looks more closely at the regions where sales fell short. - Typical users are managers and analysts. Their questions are often new or specific, such as what would happen if a price changed. A standard periodic report answers questions that were defined in advance; these systems let users go further by exploring the data and comparing options. - The same ideas serve many functions: a finance team can test how a change in interest rates would affect loan repayments, a marketing team can compare customer groups, a human resources team can examine staffing levels and an operations team can compare supplier delivery times. - The decision maker stays responsible. The results depend on the quality of the data and the assumptions in the models, so people check whether the results make sense before acting on them. - Decision support helps a person decide; automated decision-making, in contrast, carries out choices without case-by-case human approval.
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