DSST MIS study materials
DSST MIS study resources

DSST MIS key terms

DSST MIS · Get comfortable with the vocabulary.

Bandwidth

The maximum rate at which data can be carried over a communications channel, usually measured in bits per second. Higher bandwidth allows more simultaneous traffic but does not by itself guarantee faster response times.

Related: Latency, Protocol
Protocol

A shared set of rules governing how devices format, address, transmit, and acknowledge messages on a network. Without a common protocol, sender and receiver cannot interpret each other's signals correctly.

Related: Packet Switching, Bandwidth
Packet Switching

A transmission method that breaks messages into small labeled units called packets, which travel independently and are reassembled at the destination. It uses shared links efficiently and tolerates partial network failure.

Related: Protocol, Latency
Local Area Network (LAN)

A network covering a limited geographic area such as one building or campus, typically owned and managed by a single organization. LANs offer high speed and low cost per connected device.

Related: Wide Area Network (WAN), Ethernet
Wide Area Network (WAN)

A network that spans large distances and links sites across cities or countries, often relying on leased carrier circuits or public infrastructure. WAN costs and latency are typically higher than LAN costs.

Related: Local Area Network (LAN), Latency
Latency

The delay between sending a request and receiving a response, shaped by distance, congestion, and intermediate devices. Interactive applications suffer when latency is high even if raw bandwidth is plentiful.

Related: Bandwidth, Packet Switching
Ethernet

A family of standards for wired local networks that defines cabling, signaling, and frame formats. It dominates office LANs because it is inexpensive, fast, and widely interoperable across vendors.

Related: Local Area Network (LAN), Protocol
Firewall

A device or software filter that inspects traffic crossing a trust boundary and permits or blocks it according to configured rules. It enforces an access policy between internal systems and untrusted networks.

Related: Intrusion Detection System, Encryption
Encryption

Transforming readable data into ciphertext using a key so that only holders of the matching key can recover the original content. It protects confidentiality during storage and transmission.

Related: Authentication, Digital Certificate
Authentication

Verifying that a user, device, or system is genuinely who or what it claims to be, typically through passwords, tokens, or biometrics. It answers identity questions before authorization grants access.

Related: Authorization, Encryption
Authorization

Determining which resources and actions an authenticated identity is permitted to use. It follows authentication and is usually expressed as roles, permissions, or access control lists.

Related: Authentication, Firewall
Intrusion Detection System (IDS)

A monitoring tool that inspects network or host activity for patterns indicating attacks or policy violations and raises alerts. It observes and reports rather than necessarily blocking traffic.

Related: Firewall, Malware
Malware

Software written to damage systems, steal data, or gain unauthorized access, including viruses, worms, ransomware, and spyware. Defenses combine patching, filtering, user training, and endpoint scanning.

Related: Phishing, Intrusion Detection System
Phishing

A social-engineering attack that impersonates a trusted party through email or messages to trick recipients into revealing credentials or clicking malicious links. Awareness training and sender verification reduce risk.

Related: Malware, Authentication
Digital Certificate

A digitally signed credential binding a public key to a verified identity, issued by a certificate authority. Browsers and servers use certificates to establish trusted encrypted sessions.

Related: Encryption, Authentication
Systems Development Life Cycle (SDLC)

A structured sequence of phases for building information systems, commonly including planning, analysis, design, implementation, and maintenance. It provides checkpoints and documentation across a project's life.

Related: Requirements Gathering, Prototyping
Requirements Gathering

The disciplined process of eliciting, documenting, and validating what a system must do and how well it must perform it. Clear functional and nonfunctional requirements reduce costly rework later.

Related: Systems Development Life Cycle (SDLC), Use Case
Feasibility Study

An early assessment of whether a proposed system is technically workable, economically justified, legally permissible, and operationally acceptable. It informs the decision to proceed, revise, or abandon a project.

Related: Cost-Benefit Analysis, Systems Development Life Cycle (SDLC)
Data Flow Diagram (DFD)

A graphical model showing processes, data stores, external entities, and the flows of data among them. It emphasizes what happens to data rather than control logic or timing.

Related: Entity-Relationship Diagram, Use Case
Entity-Relationship Diagram (ERD)

A model depicting entities, their attributes, and the relationships among them, usually for database design. Cardinality notations show whether one or many instances participate in each relationship.

Related: Data Flow Diagram (DFD), Normalization
Use Case

A description of a goal-oriented interaction between an actor and a system, capturing a sequence of steps and alternate paths. Use cases help translate user needs into testable functional requirements.

Related: Requirements Gathering, Prototyping
Prototyping

Building an early, partial version of a system to clarify requirements and gather user feedback before full development. Prototypes may be discarded or evolved into the final product.

Related: Systems Development Life Cycle (SDLC), Use Case
Cost-Benefit Analysis

A technique comparing the expected costs of a project with its anticipated tangible and intangible benefits over time. Results guide go/no-go decisions and prioritization among competing proposals.

Related: Feasibility Study, Return on Investment
Return on Investment (ROI)

A ratio expressing net gain from an investment relative to its cost, often stated as a percentage. It lets managers compare projects of different sizes on a common financial basis.

Related: Cost-Benefit Analysis, Total Cost of Ownership
Total Cost of Ownership (TCO)

The full lifetime expense of acquiring and operating an asset, including purchase, installation, training, support, upgrades, and disposal. It reveals costs hidden by purchase price alone.

Related: Return on Investment, Cost-Benefit Analysis
Decision Support System (DSS)

An interactive application that combines data, models, and analytical tools to help managers evaluate semi-structured problems. It supports judgment rather than automating the decision itself.

Related: Executive Information System, Data Warehouse
Executive Information System (EIS)

A dashboard-oriented system presenting summarized key indicators and trend views for senior managers. It emphasizes graphical display, drill-down, and minimal query effort.

Related: Decision Support System (DSS), Key Performance Indicator
Key Performance Indicator (KPI)

A quantifiable measure chosen to track progress toward a specific organizational objective. Good indicators are few, clearly defined, and tied to decisions someone can act on.

Related: Executive Information System (EIS), Data Mining
Tacit Knowledge

Personal know-how and insight that is difficult to write down or transfer, such as judgment built from experience. It spreads mainly through mentoring, observation, and collaboration.

Related: Explicit Knowledge, Communities of Practice
Explicit Knowledge

Knowledge that has been codified into documents, procedures, manuals, or databases so it can be stored and shared. Its main challenges are currency, findability, and consistent use.

Related: Tacit Knowledge, Knowledge Management System
Knowledge Management System (KMS)

Technology and practices for capturing, organizing, retrieving, and distributing organizational knowledge. Effective systems combine repositories with incentives and processes that encourage contribution.

Related: Explicit Knowledge, Communities of Practice
Communities of Practice

Groups of practitioners who share a domain of interest and learn from one another through ongoing interaction. They are a primary channel for moving tacit knowledge across an organization.

Related: Tacit Knowledge, Knowledge Management System
Data Warehouse

A centralized repository holding integrated, time-stamped data extracted from many operational systems for query and analysis. It is typically subject-oriented and kept separate from transaction processing.

Related: Data Mart, ETL (Extract, Transform, Load), Online Analytical Processing (OLAP)
Data Mart

A smaller, focused subset of a warehouse serving one department or business function. Marts shorten query times and simplify access but can duplicate data if not governed consistently.

Related: Data Warehouse, ETL (Extract, Transform, Load)
ETL (Extract, Transform, Load)

The pipeline that pulls data from source systems, cleans and standardizes it, then loads it into a warehouse. Transformation resolves inconsistent formats, codes, and duplicates before analysis.

Related: Data Warehouse, Data Quality
Online Analytical Processing (OLAP)

A multidimensional approach to querying summarized data by dimensions such as time, product, and region. Operations like slice, dice, drill-down, and roll-up let analysts explore patterns quickly.

Related: Data Warehouse, Data Mining
Data Quality

The degree to which data is accurate, complete, consistent, timely, and fit for its intended use. Poor quality silently corrupts reports and models, so it must be measured and governed.

Related: ETL (Extract, Transform, Load), Metadata
Metadata

Structured information describing other data, such as definitions, sources, ownership, formats, and refresh dates. It makes warehouse contents understandable, traceable, and governable.

Related: Data Quality, Data Warehouse
Data Mining

Applying statistical and machine-learning techniques to large datasets to discover previously unknown patterns and relationships. Results are hypotheses to validate, not automatic proof of cause.

Related: Classification, Clustering, Association Rules
Classification

A supervised technique that learns from labeled historical examples to assign new records to predefined categories. Accuracy is judged on unseen data, not on the training set.

Related: Clustering, Data Mining
Clustering

An unsupervised technique that groups records so members of a group resemble each other more than outsiders. It reveals natural segments without requiring predefined labels.

Related: Classification, Data Mining
Association Rules

Patterns stating that items or events tend to co-occur, expressed with measures of support and confidence. Retail basket analysis uses them to guide placement and cross-selling decisions.

Related: Data Mining, Clustering