Understanding Data and Information Quality
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Questions and Answers

What is data?

Raw facts and figures without context.

How is information defined?

When data is organized and processed to have meaning.

What does knowledge derive from?

Analyzing information.

What is intelligence in the context of knowledge?

<p>The capability to predict trends and make decisions based on knowledge.</p> Signup and view all the answers

Which of the following are characteristics of information quality? (Select all that apply)

<p>Source Validity</p> Signup and view all the answers

Which category does a computer fall under?

<p>Hardware</p> Signup and view all the answers

What does Moore's law state about hardware?

<p>Hardware components become smaller and faster every two years.</p> Signup and view all the answers

What is a competitive advantage?

<p>The ability to perform better than competitors in terms of cost, quality, or speed.</p> Signup and view all the answers

Which of the following is an example of a type of Information System (IS) in organizations?

<p>Informing Users</p> Signup and view all the answers

Match the following network types:

<p>PAN = Personal Area Network LAN = Local Area Network WAN = Wide Area Network</p> Signup and view all the answers

What is a characteristic of wired media?

<p>Offers stability</p> Signup and view all the answers

What is cloud computing?

<p>The delivery of computing services over the internet.</p> Signup and view all the answers

Big Data is defined by three Vs.

<p>False</p> Signup and view all the answers

What is the primary purpose of a business process map?

<p>To visually represent the steps in a process.</p> Signup and view all the answers

Study Notes

Data, Information, Knowledge, Intelligence

  • Data: Raw facts and figures without context (e.g., numbers, dates)
  • Information: Data organized and processed to have meaning (e.g., sales report showing trends)
  • Knowledge: Insight derived from analyzing information, recognizing patterns and trends.
  • Intelligence: Ability to predict trends, make decisions based on knowledge (e.g., future market changes)

Information Quality Characteristics

  • Timeliness: Information should be up-to-date
  • Relevancy: Information should be relevant to the task at hand
  • Form: Information should be in a usable format (e.g., graphs, charts)
  • Source Validity: Information should come from credible sources
  • Sufficiency: Information should be complete enough to make informed decisions

Information Technology Categories

  • Hardware: Physical devices (e.g., computers). Following Moore’s Law, components become smaller and faster every two years.
  • Software: Applications and programs used to process data. Can be open source (OSS) or proprietary.
  • Telecommunications: Systems for data transmission, like Wi-Fi, 5G, or RFID.

Types of Information Systems (IS) in Organizations

  • Automation: Replacing manual tasks, reducing labor and errors.
  • Informing Users: Providing insights through data analysis (e.g., "What if?" scenarios)
  • Transforming Processes: Redesigning processes, often through innovations (e.g., Netflix streaming, Uber ride-sharing)

Competitive Advantage & Strategy

  • Competitive Advantage: Outperforming competitors in cost, quality, or speed, leading to customer loyalty or higher market share.
  • Competitive Strategy: Long-term plans to leverage competitive advantages. IT plays a vital role in creating these strategies.

Business Pressures

  • Societal/Political/Legal: Terrorist attacks, ethical issues, government regulations.
  • Technological: Information overload, rapid technological change.
  • Economic: Customer demands, workforce changes, global competition.

Organizational Responses to Business Pressures

  • IT Solutions: E-commerce, CRM, ERP, continuous improvement through technologies (e.g., just-in-time manufacturing).

Value Chain in Different Industries

  • A value chain consists of all activities involved in creating and delivering a product or service.
  • Examples: Research and training in the service industry, user base development in social media.

Network Types

  • PAN (Personal Area Network): Small network around a person (e.g., Bluetooth).
  • LAN (Local Area Network): Network within a limited area (e.g., building).
  • WAN (Wide Area Network): Broader network over large distances (e.g., internet).

Communication Media

  • Wired: Media like Ethernet provides stability.
  • Wireless: Media like Wi-Fi or cellular networks offer mobility.

Network Topologies

  • Star: All nodes connected to a central hub.
  • Bus: Nodes share a common communication line.
  • Ring: Nodes connected in a circular fashion.
  • Token Ring: A token circulates, granting permission to transmit.

Client-Server Computing

  • Thin Client: Lightweight client relying on a server for processing.
  • Fat Client: Powerful client that can do its own processing.
  • Smart Client: Client that can perform both local processing and interact efficiently with a server.

Cloud Computing

  • Benefits: Flexibility, scalability, cost-effectiveness.
  • Risks: Security concerns, dependency on the provider.
  • Types: SaaS (Software as a Service), IaaS (Infrastructure as a Service), PaaS (Platform as a Service)

Data Management

  • Flat Files: Simple, unstructured storage of data.
  • Lists: Basic organization but can be inconsistent.
  • Databases: Structured storage with relationships between data elements to ensure consistency and integrity.

Database Concepts

  • Primary Key: Unique identifier for a record.
  • Foreign Key: Key that links related data in different tables.

Big Data

  • Defined by the 4Vs:
    • Volume: Massive amounts of data.
    • Velocity: The speed at which data is processed.
    • Variety: Different types of data (structured, unstructured).
    • Veracity: Ensuring data accuracy and trustworthiness.

Business Process Map for Identifying IT Opportunities

  • Maps out the steps in a process visually.
  • Helps organizations spot inefficiencies or areas where technology could improve workflows.

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Description

This quiz explores the concepts of data, information, knowledge, and intelligence, emphasizing their distinctions and relationships. It also covers information quality characteristics and different categories of information technology. Test your understanding of these fundamental concepts in information science.

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