joyline yegon
Apr 23
Types of information system?
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ChatGPT
Apr 23
1. Transaction Processing Systems (TPS)
2. Management Information Systems (MIS)
3. Decision Support Systems (DSS)
4. Executive Information Systems (EIS)
5. Enterprise Resource Planning (ERP) Systems
6. Customer Relationship Management (CRM) Systems
7. Supply Chain Management (SCM) Systems
8. Knowledge Management Systems
9. Geographic Information Systems (GIS)
10. Expert Systems
2. Management Information Systems (MIS)
3. Decision Support Systems (DSS)
4. Executive Information Systems (EIS)
5. Enterprise Resource Planning (ERP) Systems
6. Customer Relationship Management (CRM) Systems
7. Supply Chain Management (SCM) Systems
8. Knowledge Management Systems
9. Geographic Information Systems (GIS)
10. Expert Systems
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Google Gemini AI
Apr 23
Transaction Processing Systems (TPS)
- Process routine business transactions (e.g., sales, purchases, inventory updates)
- Support core operational activities
Management Information Systems (MIS)
- Provide summary information on current operations to managers
- Support decision-making at tactical and operational levels
Decision Support Systems (DSS)
- Help managers analyze data and make decisions in semi-structured or unstructured situations
- Provide tools for data exploration, modeling, and forecasting
Executive Information Systems (EIS)
- Provide top-level executives with critical information in a concise and easy-to-understand format
- Support strategic decision-making
Enterprise Resource Planning (ERP) Systems
- Integrate various business functions (e.g., finance, HR, supply chain) into a single system
- Provide a centralized view of data and processes
Customer Relationship Management (CRM) Systems
- Manage interactions with customers across multiple channels
- Provide a comprehensive view of customer behavior and preferences
Supply Chain Management (SCM) Systems
- Plan, execute, and monitor the supply chain from suppliers to customers
- Optimize inventory levels, reduce costs, and improve customer service
Knowledge Management Systems (KMS)
- Create, store, and share knowledge within an organization
- Facilitate collaboration and improve decision-making
Expert Systems
- Emulate human expertise in a specific domain
- Provide advice, diagnose problems, and automate decision-making
Artificial Intelligence (AI)-Based Systems
- Leverage AI techniques (e.g., machine learning, natural language processing) to improve decision-making and automate tasks
- Include systems for fraud detection, predictive analytics, and personalized recommendations
- Process routine business transactions (e.g., sales, purchases, inventory updates)
- Support core operational activities
Management Information Systems (MIS)
- Provide summary information on current operations to managers
- Support decision-making at tactical and operational levels
Decision Support Systems (DSS)
- Help managers analyze data and make decisions in semi-structured or unstructured situations
- Provide tools for data exploration, modeling, and forecasting
Executive Information Systems (EIS)
- Provide top-level executives with critical information in a concise and easy-to-understand format
- Support strategic decision-making
Enterprise Resource Planning (ERP) Systems
- Integrate various business functions (e.g., finance, HR, supply chain) into a single system
- Provide a centralized view of data and processes
Customer Relationship Management (CRM) Systems
- Manage interactions with customers across multiple channels
- Provide a comprehensive view of customer behavior and preferences
Supply Chain Management (SCM) Systems
- Plan, execute, and monitor the supply chain from suppliers to customers
- Optimize inventory levels, reduce costs, and improve customer service
Knowledge Management Systems (KMS)
- Create, store, and share knowledge within an organization
- Facilitate collaboration and improve decision-making
Expert Systems
- Emulate human expertise in a specific domain
- Provide advice, diagnose problems, and automate decision-making
Artificial Intelligence (AI)-Based Systems
- Leverage AI techniques (e.g., machine learning, natural language processing) to improve decision-making and automate tasks
- Include systems for fraud detection, predictive analytics, and personalized recommendations
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