35 Information Systems in Business Essentials

Information System (IS): A combination of hardware, software, data, people, and procedures that work together to collect, process, store, and disseminate information for decision-making and control.

Enterprise Resource Planning (ERP): Integrated software applications that help manage business processes across an organization.

Customer Relationship Management (CRM): Systems and strategies designed to manage and improve relationships with customers.

Supply Chain Management (SCM): Systems that manage the flow of products and services from suppliers to customers.

Business Intelligence (BI): Tools and processes for collecting, analyzing, and presenting business data to support decision-making.

Database Management System (DBMS): Software that manages the storage, retrieval, and organization of data in a database.

Data Warehousing: The process of collecting, storing, and managing large volumes of data from various sources for analysis and reporting.

Decision Support System (DSS): Systems designed to assist decision-makers by providing relevant data and analysis.

Knowledge Management System (KMS): Systems that capture, store, and distribute an organization’s collective knowledge.

Transaction Processing System (TPS): Systems that process day-to-day transactions and support operational processes.

Business Process Automation (BPA): The use of technology to automate routine business processes and tasks.

Artificial Intelligence (AI): Systems that simulate human intelligence to perform tasks such as problem-solving and decision-making.

Machine Learning: A subset of AI that enables systems to learn and improve from experience without being explicitly programmed.

Cybersecurity: Measures and systems implemented to protect information and technology assets from unauthorized access, attacks, or damage.

Cloud Computing: The delivery of computing services (such as storage, processing, and software) over the internet.

Internet of Things (IoT): The network of interconnected devices and sensors that can communicate and share data.

Business Process Reengineering (BPR): Redesigning and improving business processes for increased efficiency and effectiveness.

User Interface (UI): The visual and interactive components of a software application that users interact with.

User Experience (UX): The overall experience a user has when interacting with a system or product.

Prototyping: Creating a preliminary version of a system or application to gather feedback and refine design.

System Development Life Cycle (SDLC): The process of planning, creating, testing, and deploying an information system.

Agile Methodology: An iterative and flexible approach to software development that emphasizes collaboration and adaptability.

Scrum: An agile project management framework that enables teams to deliver incremental and iterative solutions.

Business Continuity Planning (BCP): The process of developing and implementing strategies to ensure the continued operation of critical business functions during and after a disaster or disruption.

IT Governance: The framework and processes for ensuring that IT systems align with and support organizational objectives.

Data Mining: Extracting patterns and information from large datasets to uncover trends and insights.

E-commerce: Conducting business transactions and activities over the internet.

Legacy System: Older, often outdated, computer systems that continue to be used within an organization.

System Integration: The process of combining different IT systems and software applications physically or functionally.

IT Infrastructure: The hardware, software, networks, and facilities used to develop, test, deliver, monitor, control, and support IT services.

End-User Computing (EUC): The use of computers and software applications by non-IT professionals to solve business problems.

Middleware: Software that acts as an intermediary to facilitate communication and data management between different software applications.

Big Data: Large and complex datasets that traditional data processing applications may struggle to handle.

Geographic Information System (GIS): Systems that capture, store, analyze, and present spatial or geographic data.

Social Media Analytics: Analyzing data from social media platforms to understand trends, sentiments, and user behavior.