Information Systems and Management

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Flashcards covering key vocabulary from a lecture on information systems and management, including types of information systems, the role of data, management challenges, and cloud computing.

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28 Terms

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Information System (IS)

A system that uses technology to efficiently manage and leverage data to support decision-making and streamline business processes.

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Transaction Processing System (TPS)

A type of information system that handles day-to-day business transactions, such as sales, inventory, and payroll.

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Management Information System (MIS)

A type of information system that summarizes and reports on business activities to help mid-level managers make informed decisions.

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Decision Support System (DSS)

A type of information system that helps with complex decision-making by providing projections, analysis, and simulations.

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Executive Information System (EIS)

A type of information system that provides top executives with easy access to key data to support high-level decision-making.

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Data Collection

The process of gathering raw data from various sources, such as customer orders and employee records.

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Data Storage

The secure storage of data in databases or data warehouses.

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Data Processing

The cleaning, sorting, and organizing of data to ensure accuracy and relevance.

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Data Analysis

The use of analytical tools and techniques, such as reporting, dashboards, and predictive analytics, to interpret data.

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Cloud Computing

The delivery of various computing services over the internet, allowing users to access, store, and manage data and applications remotely.

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Infrastructure as a Service (IaaS)

A type of cloud computing service that provides access to fundamental computing infrastructure like servers and storage.

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Platform as a Service (PaaS)

A type of cloud computing service that provides a platform allowing customers to develop, run, and manage applications without the complexity of building and maintaining the infrastructure.

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Software as a Service (SaaS)

A type of cloud computing service that provides software applications over the internet, on demand.

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Data Mining

The process of discovering patterns, trends, and valuable insights from large datasets.

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Big Data

Extremely large and complex datasets that cannot be easily processed or analyzed using traditional methods.

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Data Warehouse

A central repository where integrated data from multiple sources is stored for analysis and reporting.

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Data Lake

A storage repository that holds a vast amount of raw data in its native format until it is needed.

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Business Intelligence (BI)

The use of data analysis tools and techniques to gather insights and make informed business decisions.

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Customer Relationship Management (CRM)

A system for managing a company's interactions with current and potential customers.

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Supply Chain Management (SCM)

The management of the flow of goods, data, and finances related to a product or service, from procurement to delivery.

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Enterprise Resource Planning (ERP)

A system that integrates various business functions into one complete system to streamline operations and decision-making.

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Artificial Intelligence (AI)

The development of computer systems that can perform tasks that typically require human intelligence, such as learning and problem-solving.

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Machine Learning (ML)

A subset of AI that allows systems to learn from data without being explicitly programmed.

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Deep Learning

A type of machine learning that uses artificial neural networks with multiple layers to analyze data and make predictions.

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Internet of Things (IoT)

A network of physical devices embedded with sensors, software, and connectivity, enabling them to collect and exchange data.

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Blockchain

A decentralized and transparent ledger that records transactions across many computers, ensuring security and integrity.

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Cybersecurity

The practice of protecting computer systems, networks, and data from digital attacks.

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Data Governance

The establishment of policies and procedures for managing data assets to ensure quality, security, and compliance.