Comprehensive Guide to Information Systems, Data, and Cloud Technologies

Management information systems (MIS)

How people and organizations use information systems to support work, decisions, and business goals.

Information technology (IT)

The hardware and software components used to process and communicate information.

Information system (IS)

A system consisting of hardware, software, data, procedures, and people.

Five-component framework

Hardware, software, data, procedures, and people must work together for an information system to succeed.

Data

Recorded facts or figures before they are interpreted or placed in a useful context.

Information

Data processed or presented so that it becomes meaningful and useful.

Timely information

Information available early enough to support the decision or action for which it is needed.

Nonroutine cognitive skill

Critical thinking and judgment used to address ambiguous or unfamiliar business problems.

Systems thinking

Considering how a decision affects multiple connected parts of an organization rather than one component alone.

Business-first technology decision

Identify the business goal or problem before choosing a technology.

Business process

A network of activities, resources, facilities, and information that accomplishes a business function.

Competitive advantage

A capability that allows an organization to perform better than competitors; it may fade if competitors can copy it.

Differentiation strategy

Competing by offering distinctive products, services, quality, or experiences that customers value.

Porter's Five Forces

A framework for analyzing competitive pressures within an industry.

Value chain

A model showing how a business's activities work together to create value for customers.

Strategic fit

The degree to which a technology choice matches an organization's goals, resources, culture, and risk tolerance.

Business intelligence (BI)

Processes and tools that transform data into insights that support decisions.

Basic BI process

Acquire data, analyze it, and publish the results.

Machine learning

Using data to identify patterns that improve predictions or classifications.

AI hallucination

A plausible-sounding but inaccurate or fabricated AI output.

AI verification

Checking important AI output against reliable information before using it.

Effective prompt

A request that gives the AI relevant context, audience, objective, desired output, and constraints.

AI-supported decision-making

Using AI to generate or analyze options while a person evaluates evidence and makes the final decision.

Automation

Using technology to perform a task with less direct human involvement.

Augmentation

Using technology to help a person perform a task more effectively.

Unsupervised data mining

Finding patterns or groups in data without first assigning labels or specifying the expected groups.

AI recommendation evaluation

Check whether the recommendation is accurate, supported, complete, and appropriate for the business context.

Responsible generative AI use

Use AI as a draft or support tool, protect data, and keep human review for important decisions.

Hardware

The physical electronic components and devices of a computer system.

Software

The instructions and applications that run on hardware.

Internet of Things (IoT)

Physical devices with sensors or network connections that collect and share data.

Bring your own device (BYOD)

A policy allowing personal devices for work, creating convenience along with security and data-control risks.

Emerging-technology evaluation

Determine whether the technology solves a meaningful problem and fits organizational needs rather than adopting it for novelty.

Autonomous system oversight

Technology performs some tasks while people continue monitoring safety, exceptions, and accountability.

Business database

An organized collection of data that can be reliably used by applications and employees.

Primary key

A field whose value uniquely identifies each record in a table.

Metadata

Data that describes other data, such as field names, formats, and definitions.

Data integrity

The accuracy, consistency, and reliability of data throughout its use.

Database relationship

A connection that allows related information in different tables to be combined.

Database query

A request that retrieves records meeting specified conditions.

Data quality and AI

Incomplete, biased, or inaccurate source data can produce poor or misleading AI results.

Confidential data and public AI tools

Check the data's sensitivity and company policy before submitting it to an external tool.

Cloud computing

The elastic leasing of pooled computing resources over the Internet.

Elasticity

The ability to increase or decrease computing capacity as demand changes.

Software as a Service (SaaS)

Complete software applications delivered over the Internet, such as Microsoft 365 or Salesforce.

Cloud scalability

The ability to obtain additional computing resources without building and managing all infrastructure internally.

Vendor dependence

Reliance on an external provider that can reduce direct control over data, pricing, or service availability.

Public cloud

Computing resources operated by an outside provider and offered to multiple customers.

Private cloud

Cloud resources dedicated to one organization.

Cloud and AI security

Prompts and uploaded files may be processed or stored on systems operated by an external provider.