100 từ vựng và cụm từ vựng tiếng Anh về ngành nghề Quản trị hệ thống thông tin

Bài viết “100 từ vựng và cụm từ vựng tiếng Anh về ngành nghề Quản trị hệ thống thông tin” cung cấp danh sách các từ vựng quan trọng liên quan đến lĩnh vực quản lý và vận hành hệ thống thông tin, giúp bạn nắm vững thuật ngữ chuyên ngành, nâng cao kỹ năng giao tiếp và hiểu biết trong công việc.

Từ vựng nghề Quản trị hệ thống thông tin

Information System (IS) – Hệ thống thông tin
Management Information System (MIS) – Hệ thống thông tin quản lý
Database Management System (DBMS) – Hệ quản trị cơ sở dữ liệu
Enterprise Resource Planning (ERP) – Hoạch định nguồn lực doanh nghiệp
Customer Relationship Management (CRM) – Quản lý quan hệ khách hàng
Data Analytics – Phân tích dữ liệu
Business Intelligence (BI) – Trí tuệ doanh nghiệp
Data Warehouse – Kho dữ liệu
Cloud Computing – Điện toán đám mây
Big Data – Dữ liệu lớn
Information Technology (IT) – Công nghệ thông tin
Network Security – An ninh mạng
Cybersecurity – An ninh mạng
Data Mining – Khai thác dữ liệu
Artificial Intelligence (AI) – Trí tuệ nhân tạo
Machine Learning (ML) – Học máy
System Integration – Tích hợp hệ thống
Software Development – Phát triển phần mềm
Data Governance – Quản trị dữ liệu
Digital Transformation – Chuyển đổi số
Information Governance – Quản trị thông tin
Enterprise Architecture – Kiến trúc doanh nghiệp
User Experience (UX) – Trải nghiệm người dùng
Project Management – Quản lý dự án
Data Visualization – Minh họa dữ liệu
IT Infrastructure – Hạ tầng CNTT
Systems Analysis – Phân tích hệ thống
Risk Management – Quản lý rủi ro
Change Management – Quản lý thay đổi
Data Privacy – Bảo mật dữ liệu
Data Integrity – Tính toàn vẹn dữ liệu
Application Development – Phát triển ứng dụng
Supply Chain Management (SCM) – Quản lý chuỗi cung ứng
Knowledge Management – Quản lý tri thức
Data Lifecycle – Vòng đời dữ liệu
Data Quality – Chất lượng dữ liệu
Service Level Agreement (SLA) – Thỏa thuận mức dịch vụ
Business Process Management (BPM) – Quản lý quy trình kinh doanh
Cloud Services – Dịch vụ đám mây
Data Security – Bảo mật dữ liệu
Data Backup – Sao lưu dữ liệu
Disaster Recovery – Khôi phục thảm họa
IT Governance – Quản trị CNTT
Information Architecture – Kiến trúc thông tin
Systems Development Life Cycle (SDLC) – Vòng đời phát triển hệ thống
Data Modeling – Mô hình hóa dữ liệu
IT Support – Hỗ trợ CNTT
User Interface (UI) – Giao diện người dùng
Operational Efficiency – Hiệu quả vận hành
Cyber Threat – Mối đe dọa an ninh mạng
Incident Management – Quản lý sự cố
IT Audit – Kiểm toán CNTT
Digital Economy – Kinh tế số
Information Flow – Dòng chảy thông tin
System Design – Thiết kế hệ thống
Cloud Storage – Lưu trữ đám mây
Encryption – Mã hóa
Data Breach – Rò rỉ dữ liệu
System Maintenance – Bảo trì hệ thống
Information Management – Quản lý thông tin
Data Redundancy – Dư thừa dữ liệu
Service-Oriented Architecture (SOA) – Kiến trúc hướng dịch vụ
Data Warehouse Architecture – Kiến trúc kho dữ liệu
Remote Access – Truy cập từ xa
Business Continuity Planning (BCP) – Kế hoạch duy trì hoạt động kinh doanh
Digital Rights Management (DRM) – Quản lý quyền số
System Upgrade – Nâng cấp hệ thống
Access Control – Kiểm soát truy cập
Multi-Cloud Strategy – Chiến lược đa đám mây
Information System Strategy – Chiến lược hệ thống thông tin
Virtualization – Ảo hóa
Data Science – Khoa học dữ liệu
API (Application Programming Interface) – Giao diện lập trình ứng dụng
Business Process Reengineering (BPR) – Tái cấu trúc quy trình kinh doanh
Data Center – Trung tâm dữ liệu
Scalability – Khả năng mở rộng
Compliance – Tuân thủ
Identity Management – Quản lý danh tính
IT Service Management (ITSM) – Quản lý dịch vụ CNTT
Data Classification – Phân loại dữ liệu
IT Budgeting – Dự toán CNTT
Data Migration – Di chuyển dữ liệu
System Performance – Hiệu suất hệ thống
Data Archiving – Lưu trữ dữ liệu
Operational Risk – Rủi ro vận hành
IT Outsourcing – Thuê ngoài CNTT
User Acceptance Testing (UAT) – Kiểm thử chấp nhận người dùng
IT Policy – Chính sách CNTT
Server Management – Quản lý máy chủ
Information Lifecycle Management (ILM) – Quản lý vòng đời thông tin
System Audit – Kiểm toán hệ thống
Data Governance Framework – Khung quản trị dữ liệu
Interoperability – Khả năng tương tác
Cyber Resilience – Khả năng chống chịu an ninh mạng
IT Roadmap – Lộ trình CNTT
Load Balancing – Cân bằng tải
Data Encryption – Mã hóa dữ liệu
IT Infrastructure Library (ITIL) – Thư viện hạ tầng CNTT
System Redundancy – Dự phòng hệ thống
Digital Ecosystem – Hệ sinh thái số

Bài viết sử dụng thuật ngữ trên

Information System (IS) – “The company’s information system has been upgraded to improve data flow and security.”
Management Information System (MIS) – “The management information system helps managers make informed decisions based on real-time data.”
Database Management System (DBMS) – “A database management system is essential for organizing and retrieving large amounts of data efficiently.”
Enterprise Resource Planning (ERP) – “Implementing an ERP system streamlined our supply chain management.”
Customer Relationship Management (CRM) – “Our CRM platform enables us to better understand customer needs and improve service.”
Data Analytics – “Using data analytics, we identified key trends that influenced our marketing strategy.”
Business Intelligence (BI) – “The business intelligence tools provide valuable insights into our company’s performance.”
Data Warehouse – “The new data warehouse consolidates all company data into a single, accessible location.”
Cloud Computing – “Cloud computing allows businesses to scale resources as needed without investing in physical infrastructure.”
Big Data – “Analyzing big data helps us understand customer behavior on a large scale.”
Information Technology (IT) – “Our IT department is responsible for maintaining all company technology systems.”
Network Security – “Investing in network security is crucial to protect sensitive company data from cyber threats.”
Cybersecurity – “With the rise of cyber attacks, cybersecurity has become a top priority for organizations.”
Data Mining – “Data mining techniques are used to uncover hidden patterns in large datasets.”
Artificial Intelligence (AI) – “Artificial intelligence is transforming industries by automating complex tasks.”
Machine Learning (ML) – “Machine learning algorithms help improve the accuracy of predictive models.”
System Integration – “The system integration process ensures that different software applications work together seamlessly.”
Software Development – “Our team is focused on software development to create custom solutions for clients.”
Data Governance – “Data governance policies are necessary to ensure data accuracy and consistency across the organization.”
Digital Transformation – “The company’s digital transformation has led to increased efficiency and customer satisfaction.”
Information Governance – “Information governance helps us manage and protect our information assets effectively.”
Enterprise Architecture – “A well-designed enterprise architecture supports the alignment of IT with business goals.”
User Experience (UX) – “Enhancing user experience is key to retaining customers and reducing churn.”
Project Management – “Effective project management ensures that projects are completed on time and within budget.”
Data Visualization – “Data visualization tools help us present complex data in an easily understandable format.”
IT Infrastructure – “A robust IT infrastructure is essential for supporting the company’s growing technology needs.”
Systems Analysis – “Systems analysis helps identify areas for improvement in the current system.”
Risk Management – “Risk management strategies are critical to mitigating potential business risks.”
Change Management – “Successful change management is necessary to guide the organization through transitions.”
Data Privacy – “Protecting data privacy is a top priority to maintain customer trust.”
Data Integrity – “Data integrity must be maintained to ensure that information remains accurate and reliable.”
Application Development – “Our application development team is working on a new mobile app for our clients.”
Supply Chain Management (SCM) – “Effective supply chain management reduces costs and improves product delivery times.”
Knowledge Management – “Knowledge management practices help us capture and share valuable organizational knowledge.”
Data Lifecycle – “Managing the data lifecycle ensures that data is handled appropriately from creation to disposal.”
Data Quality – “High data quality is essential for making accurate business decisions.”
Service Level Agreement (SLA) – “We have a service level agreement in place to guarantee a certain level of service to our customers.”
Business Process Management (BPM) – “Business process management helps streamline operations and improve efficiency.”
Cloud Services – “Our company uses cloud services to store and access data remotely.”
Data Security – “Implementing data security measures is crucial to protect against unauthorized access.”
Data Backup – “Regular data backups are necessary to prevent data loss in case of system failure.”
Disaster Recovery – “A solid disaster recovery plan ensures that business operations can resume quickly after an incident.”
IT Governance – “Good IT governance aligns IT initiatives with business objectives and ensures compliance.”
Information Architecture – “A clear information architecture makes it easier for users to navigate and find information.”
Systems Development Life Cycle (SDLC) – “The systems development life cycle guides the development of high-quality software.”
Data Modeling – “Data modeling is a crucial step in designing a new database.”
IT Support – “Our IT support team is available 24/7 to assist with technical issues.”
User Interface (UI) – “A well-designed user interface is key to a positive user experience.”
Operational Efficiency – “Improving operational efficiency reduces costs and enhances productivity.”
Cyber Threat – “Businesses must be vigilant against cyber threats to protect their digital assets.”
Incident Management – “An effective incident management process ensures quick response to IT issues.”
IT Audit – “The IT audit revealed several areas where our systems could be improved.”
Digital Economy – “The digital economy has revolutionized the way businesses operate and compete.”
Information Flow – “Ensuring a smooth information flow is essential for efficient business operations.”
System Design – “Good system design is critical to the success of any IT project.”
Cloud Storage – “Cloud storage offers scalable and secure data storage solutions.”
Encryption – “Data encryption is essential to protect sensitive information from unauthorized access.”
Data Breach – “A data breach can have severe consequences for a company’s reputation and finances.”
System Maintenance – “Regular system maintenance is necessary to keep our IT systems running smoothly.”
Information Management – “Information management practices help us organize and protect our data assets.”
Data Redundancy – “Eliminating data redundancy can improve database efficiency and performance.”
Service-Oriented Architecture (SOA) – “A service-oriented architecture allows for greater flexibility in developing software applications.”
Data Warehouse Architecture – “The data warehouse architecture is designed to support large-scale data analysis.”
Remote Access – “Our employees can use remote access to work from anywhere with an internet connection.”
Business Continuity Planning (BCP) – “Having a business continuity plan in place ensures that operations can continue during disruptions.”
Digital Rights Management (DRM) – “Digital rights management is used to protect intellectual property in digital formats.”
System Upgrade – “A system upgrade is scheduled to improve performance and security.”
Access Control – “Implementing access control measures helps prevent unauthorized access to sensitive systems.”
Multi-Cloud Strategy – “A multi-cloud strategy allows us to leverage the strengths of multiple cloud providers.”
Information System Strategy – “Our information system strategy focuses on aligning IT capabilities with business objectives.”
Virtualization – “Virtualization technology enables us to run multiple virtual machines on a single physical server.”
Data Science – “Data science plays a critical role in extracting insights from complex datasets.”
API (Application Programming Interface) – “Our platform uses an API to allow integration with third-party applications.”
Business Process Reengineering (BPR) – “Business process reengineering aims to improve efficiency by redesigning workflows.”
Data Center – “The new data center is equipped with the latest technology to ensure reliability and security.”
Scalability – “The scalability of our IT infrastructure allows us to handle increasing workloads without performance issues.”
Compliance – “Ensuring compliance with industry regulations is critical to avoid legal penalties.”
Identity Management – “Identity management systems help control user access to the company’s IT resources.”
IT Service Management (ITSM) – “Implementing IT service management processes improves service delivery and support.”
Data Classification – “Proper data classification helps ensure that sensitive information is adequately protected.”
IT Budgeting – “Effective IT budgeting ensures that the necessary resources are allocated to support business needs.”
Data Migration – “The data migration process involves moving data from legacy systems to new platforms.”
System Performance – “Monitoring system performance is essential to maintaining optimal operation levels.”
Data Archiving – “Regular data archiving frees up storage space and preserves important records.”
Operational Risk – “Identifying and mitigating operational risks is key to maintaining business continuity.”
IT Outsourcing – “We decided on IT outsourcing to reduce costs and focus on our core business activities.”
User Acceptance Testing (UAT) – “User acceptance testing is the final phase before a system goes live.”
IT Policy – “Our IT policy outlines the standards and procedures for using company technology.”
Server Management – “Effective server management ensures that all systems are running smoothly and efficiently.”
Information Lifecycle Management (ILM) – “Information lifecycle management helps manage data from creation to disposal.”
System Audit – “A system audit will help identify any vulnerabilities in our IT infrastructure.”
Data Governance Framework – “A strong data governance framework ensures that data is managed consistently across the organization.”
Interoperability – “Ensuring interoperability between systems allows for seamless data exchange.”
Cyber Resilience – “Building cyber resilience helps us recover quickly from any cyber attack.”
IT Roadmap – “Our IT roadmap outlines the future direction of our technology initiatives.”
Load Balancing – “Load balancing distributes network traffic evenly across multiple servers.”
Data Encryption – “Data encryption is a fundamental security measure to protect sensitive information.”
IT Infrastructure Library (ITIL) – “Following ITIL guidelines helps improve our IT service management processes.”
System Redundancy – “System redundancy ensures that we have backup systems in place in case of a failure.”
Digital Ecosystem – “The digital ecosystem connects various digital tools and platforms to support business operations.”

Bài tập

The new ____________ has greatly improved our data processing capabilities.
Our ____________ allows us to monitor and manage business operations efficiently.
The ____________ is crucial for managing large databases within the organization.
Implementing an ____________ system streamlined our resource allocation processes.
The ____________ system helps us maintain better relationships with our customers.
By using ____________, we can uncover valuable insights from our data.
____________ tools provide our team with actionable intelligence to drive business growth.
Our ____________ is designed to store and analyze large volumes of historical data.
____________ allows us to access computing resources over the internet.
Analyzing ____________ helps us understand trends and patterns in customer behavior.
The ____________ department handles all technology-related issues within the company.
We must invest in ____________ to protect our network from cyber threats.
____________ is essential for safeguarding our systems against hackers.
Techniques like ____________ help us extract useful information from vast datasets.
____________ is transforming the way we approach problem-solving and automation.
____________ algorithms are improving the accuracy of our predictive models.
____________ ensures that our various software applications work together seamlessly.
Our focus on ____________ is driving innovation in our software offerings.
____________ policies help maintain the accuracy and consistency of our data.
The company’s ____________ efforts have led to a significant increase in efficiency.
____________ is key to protecting and managing the information assets of our organization.
A well-planned ____________ aligns IT infrastructure with business objectives.
Improving ____________ is critical to keeping our customers satisfied.
Effective ____________ is vital for completing projects on time and within budget.
____________ tools allow us to present complex data in a more understandable way.
A solid ____________ supports our business operations and growth.
____________ helps us identify potential issues within our current system.
Implementing ____________ strategies helps mitigate business risks.
Successful ____________ is necessary for guiding the organization through transitions.
Ensuring ____________ is essential to maintaining customer trust.
Maintaining ____________ ensures that the data we use is accurate and reliable.
Our ____________ team is developing a new application for our clients.
Effective ____________ reduces costs and improves delivery times.
____________ practices help capture and share valuable organizational knowledge.
Managing the ____________ is essential for data quality and compliance.
High ____________ is necessary for making accurate and informed business decisions.
We have a ____________ in place to ensure a certain level of service to our customers.
____________ allows us to streamline operations and improve efficiency.
Our company relies on ____________ to store and access data remotely.
Implementing ____________ measures is crucial to protect sensitive information.
Regular ____________ is necessary to prevent data loss in case of system failure.
A well-designed ____________ plan ensures quick recovery after a disaster.
Good ____________ aligns IT initiatives with business objectives and ensures compliance.
Clear ____________ helps users navigate and find information easily.
The ____________ guides the development of high-quality software systems.
____________ is a critical step in designing effective database systems.
Our ____________ team provides 24/7 support for technical issues.
A well-designed ____________ enhances the overall experience for the user.
Improving ____________ reduces costs and increases productivity.
We must remain vigilant against ____________ to protect our digital assets.
Effective ____________ processes help us respond quickly to IT issues.
The ____________ revealed several areas for improvement in our systems.
The rise of the ____________ has changed how businesses operate globally.
Ensuring a smooth ____________ is vital for efficient business operations.
Good ____________ is critical for the success of any IT project.
____________ offers scalable solutions for storing and accessing data.
Data ____________ is a key method to protect sensitive information.
A ____________ can severely damage a company’s reputation and finances.
Regular ____________ is necessary to keep IT systems running efficiently.
Good ____________ practices ensure that data assets are organized and protected.
Eliminating ____________ improves database performance and efficiency.
A ____________ allows for greater flexibility in software development.
A well-planned ____________ supports effective data analysis.
Our employees can use ____________ to access company systems remotely.
A ____________ ensures that business operations continue during disruptions.
____________ is essential for protecting intellectual property in digital formats.
A ____________ is scheduled to improve system performance and security.
Implementing ____________ measures prevents unauthorized access to systems.
A ____________ allows us to use multiple cloud providers for better reliability.
Our ____________ focuses on aligning IT capabilities with business needs.
____________ technology enables us to run multiple virtual environments on a single server.
____________ plays a crucial role in deriving insights from complex datasets.
Our platform uses an ____________ to allow integration with third-party applications.
____________ aims to improve efficiency by redesigning workflows.
The new ____________ is equipped with the latest technology for data security.
The ____________ of our infrastructure allows us to handle increased workloads effectively.
Ensuring ____________ with industry regulations is critical to avoid penalties.
____________ systems help manage user access to IT resources.
Implementing ____________ processes improves IT service delivery.
Proper ____________ helps protect sensitive data within the organization.
Effective ____________ ensures that IT resources are allocated properly.
The ____________ process involves moving data from older systems to new ones.
Monitoring ____________ is essential for maintaining optimal system operations.
Regular ____________ frees up storage space and preserves important records.
Identifying ____________ helps ensure business continuity in case of disruptions.
Our decision to use ____________ has allowed us to reduce operational costs.
____________ is the final phase before a system is implemented.
Our ____________ outlines the standards for using company technology.
Effective ____________ ensures smooth operation and management of servers.
____________ helps manage data from its creation to eventual disposal.
A ____________ will help identify any vulnerabilities in our IT systems.
A strong ____________ ensures consistent management of data across the organization.
Ensuring ____________ between systems allows for smooth data exchange.
Building ____________ helps the company recover quickly from cyber attacks.
Our ____________ outlines the future direction for our IT initiatives.
____________ distributes network traffic evenly across multiple servers.
____________ is a fundamental security measure for protecting information.
Following ____________ guidelines helps improve our IT service management.
____________ ensures that we have backup systems in case of a failure.
The ____________ connects various digital tools to support business operations.