Expert Systems in Information Technology

<p>It analyzes data and draws conclusions (A)</p> Signup and view all the answers

<p>Financial planning system (D)</p> Signup and view all the answers

<p>Converting raw data into useful information (A)</p> Signup and view all the answers

<p>Decision Support System (B)</p> Signup and view all the answers

<p>Data Analysis (C)</p> Signup and view all the answers

<p>By enabling informed decision-making (B)</p> Signup and view all the answers

<p>Actionable insights tailored to management needs (D)</p> Signup and view all the answers

<p>For supporting complex decision-making processes (D)</p> Signup and view all the answers

<p>Statistical analysis of data (A)</p> Signup and view all the answers

<p>Collaboration between human judgment and analytical tools (C)</p> Signup and view all the answers

<p>Provides recommendations and insights for decision-making (A)</p> Signup and view all the answers

<p>Emulating human creativity in all domains (B)</p> Signup and view all the answers

<p>By analyzing investment options and budgets (B)</p> Signup and view all the answers

<p>It can learn from new data to enhance its knowledge base (B)</p> Signup and view all the answers

<p>Optimizing operations by analyzing logistics and inventory (A)</p> Signup and view all the answers

<p>It uses a knowledge base of facts and rules to make decisions (A)</p> Signup and view all the answers

<p>By illustrating data and results via charts and graphs (D)</p> Signup and view all the answers

<p>Assisting in medical diagnosis and treatment planning (C)</p> Signup and view all the answers

<p>To improve organizational systems and efficiency (B)</p> Signup and view all the answers

<p>Developing marketing plans (D)</p> Signup and view all the answers

<p>It supports organizational functions or processes (D)</p> Signup and view all the answers

<p>Analytical, technical, managerial, and interpersonal skills (D)</p> Signup and view all the answers

<p>Collections of information resources for processing data (A)</p> Signup and view all the answers

<p>Understanding of the organization’s objectives (B)</p> Signup and view all the answers

<p>An organized method to ensure system success (B)</p> Signup and view all the answers

<p>Analyzing stakeholders' requirements (C)</p> Signup and view all the answers

<p>Project management tools (B)</p> Signup and view all the answers

<p>Knowledge of potential and limitations of technology (D)</p> Signup and view all the answers

<p>To handle, record, and manage routine business transactions (A)</p> Signup and view all the answers

<p>Transaction Processing System (TPS) (C)</p> Signup and view all the answers

<p>Data analysis for strategic planning (A)</p> Signup and view all the answers

<p>By analyzing data and generating insightful reports (A)</p> Signup and view all the answers

<p>It serves as the foundation by providing raw data (D)</p> Signup and view all the answers

<p>It automates the handling of data about business activities (A)</p> Signup and view all the answers

<p>Airlines (B)</p> Signup and view all the answers

<p>TPS gathers and processes data while MIS provides insights based on that data (D)</p> Signup and view all the answers

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A structured process used by companies to create and maintain systems that perform essential business functions. Its primary objective is to enhance employee efficiency by implementing software solutions for key business tasks.

Individuals who analyze and design systems by understanding the organization's objectives, structure, and processes. They leverage their knowledge of information technology to create solutions that benefit the company.

Gathering and understanding information about a company's objectives, structure, and processes to identify potential areas for improvement. This often involves interviewing stakeholders, analyzing data, and documenting current practices.

The process of designing a new or improved system based on the findings from system analysis. This includes defining requirements, creating blueprints, and planning implementation.

A collection of information resources like hardware, software, documentation, people, and processes that work together to achieve a specific goal. They enable an organization to gather, process, store, and share information efficiently.

Software designed to support specific business functions, tasks, or processes. It helps employees perform their jobs more efficiently and effectively by automating tasks and providing tools for data management.

A highly organized system that includes hardware, system software, documentation, training materials, job roles, and security measures. It provides the foundation for application software to run smoothly.

The process of carefully looking at potential problems and risks associated with a system. It helps you understand challenges and identify appropriate preventative measures.

The process of planning and managing the implementation of a new or modified information system. It involves coordinating resources, setting timelines, and ensuring successful transition.

The process of evaluating a system's effectiveness and identifying areas for improvement. It helps ensure that a system meets its intended goals and provides a framework for ongoing optimization.

Information systems used by companies and organizations to communicate with customers and suppliers, manage internal operations, and conduct essential business activities.

A type of information system that handles, records, and manages daily, repetitive business transactions efficiently and accurately.

A system that automates the handling of data related to business activities and transactions.

TPS systems are critical for operational-level processes, making them the foundation for many core business activities.

Examples of TPS include Point-of-sale systems in retail, ATMs and online banking, airline reservation systems, and systems for tracking production and material usage in manufacturing.

A type of information system that collects, processes, and analyzes data to provide insights and reports for managers to make informed decisions and oversee operations.

MIS transforms raw data from TPS systems into meaningful information for managers.

MIS combines people, technology, and processes to achieve efficient management of an organization.

MIS helps bridge the gap between data collection systems (like Transaction Processing Systems - TPS) and decision-making systems (like Decision Support Systems - DSS).

MIS gathers raw data from various sources within an organization.

MIS converts raw data into useful information through sorting, aggregating, and analyzing.

MIS stores data securely for easy access and retrieval.

MIS produces reports that are tailored to specific management needs and are actionable.

MIS identifies areas of concern, inefficiency, or performance shortfalls.

A computer-based system designed to support complex decision-making processes by analyzing data, providing insights, and suggesting potential actions or solutions.

A type of information system that uses artificial intelligence (AI) to imitate the decision-making process of a human expert in a specific area.

A collection of facts and rules that an Expert System uses to make decisions and solve problems.

The process of using algorithms and logic to analyze the knowledge base and arrive at a conclusion or recommendation.

A feature of DSS that allows users to explore different scenarios by changing variables and assessing the impact on outcomes.

A feature of DSS that helps users interpret data and results through visual elements like charts and graphs.

An example of a DSS used to analyze financial data, evaluate investments, and create budgets.

An example of a DSS used in healthcare to assist with diagnosis, treatment planning, and identifying patient risks.

Expert systems are computer programs that mimic human expertise in a specific domain. They use a knowledge base of rules and facts to solve problems, make decisions, and provide advice.

Expert systems work by processing input through a knowledge base and inference engine. The knowledge base contains rules and facts, while the inference engine applies logical reasoning to derive conclusions and recommendations.

Expert systems find applications in various fields, including medical diagnosis, engineering design, customer support, financial planning, and legal advisory. They help automate tasks, provide accurate solutions, and improve efficiency.

The output of an expert system is a recommendation or solution based on the input and the knowledge within the system. This could be a diagnosis, a design plan, or a set of actions to be taken.

Expert systems can interact with users through various interfaces, such as text-based dialogues, graphical user interfaces, or even voice commands. This enables users to easily interact with the system and provide the necessary information for problem-solving.