Data Analytics Concepts Quiz
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Questions and Answers

Which of the following statements accurately describes the transformation of data into information?

  • Data needs to be completely analyzed to be considered information.
  • Information emerges naturally from data without any processing.
  • Information only becomes useful when data is processed and organized. (correct)
  • Data is always valuable, even in its raw form.

    • Based on the provided text, which of these characteristics is NOT mentioned as essential for valuable information?

  • Completeness
  • Timeliness
  • Accuracy
  • Consistency (correct)

    • Which of the following examples BEST illustrates the concept of 'information based on data'?

  • A photograph capturing a moment in time.
  • A detailed description of a historical event.
  • A graph displaying the monthly sales figures of a company. (correct)
  • A list of ingredients needed for a recipe.

    • Why is timeliness a critical characteristic of certain types of information, such as stock prices?

    <p>Timely information helps users make informed decisions based on the latest available data. (C)</p> Signup and view all the answers

    Why is it important to understand the different types of data in data analytics?

    <p>To determine the appropriate tools and techniques for data analysis. (A)</p> Signup and view all the answers

    Which of the following data types represents the LARGEST portion of data in the informatics landscape?

    <p>Unstructured Data (D)</p> Signup and view all the answers

    Which statement MOST ACCURATELY describes the characteristic of semi-structured data?

    <p>Combines elements of both structured and unstructured data. (B)</p> Signup and view all the answers

    In the context of data analytics, why is it crucial to have a good understanding of information systems?

    <p>To identify the appropriate data sources and how they are organized. (B)</p> Signup and view all the answers

    Which of these is NOT an example of unstructured data?

    <p>An Excel spreadsheet (B)</p> Signup and view all the answers

    Structured data is MOST COMMONLY associated with which of the following?

    <p>Database tables (D)</p> Signup and view all the answers

    What is the primary difference between qualitative and quantitative data?

    <p>Qualitative data is always more subjective than quantitative data. (B)</p> Signup and view all the answers

    Why is it important to clean and prepare data before analyzing it?

    <p>To enhance the quality and reliability of the analysis results. (C)</p> Signup and view all the answers

    Which of the following BEST describes the core concept of data as presented in the provided text?

    <p>Data is simply a collection of raw facts and figures, regardless of context or meaning. (A)</p> Signup and view all the answers

    Based on the text, what is the key difference between data and information?

    <p>Data is raw and unprocessed, while information is organized, meaningful, and useful. (D)</p> Signup and view all the answers

    According to the text, what is the primary purpose of an information system?

    <p>To process data into meaningful information that can be used for decision-making. (B)</p> Signup and view all the answers

    Which of the following is NOT a component of an information system, according to the text?

    <p>Analysis (B)</p> Signup and view all the answers

    How does the understanding of information systems benefit business organizations?

    <p>It provides a framework for making informed decisions based on analyzed data and insights. (C)</p> Signup and view all the answers

    What is the primary function of the 'input' component within an information system?

    <p>To collect raw data from various sources and feed it into the system. (D)</p> Signup and view all the answers

    The text states that information systems are critical for helping companies solve problems and make decisions. What is the most likely reason this is true?

    <p>Information systems can quickly and efficiently analyze large amounts of data to identify patterns and trends. (B)</p> Signup and view all the answers

    What is the most accurate description of the relationship between information systems and information itself?

    <p>Information systems rely on information as input, and the output is processed information. (D)</p> Signup and view all the answers

    Why is it important to understand the concept of data and information in the context of business organizations?

    <p>It allows businesses to make better decisions based on accurate, relevant, and timely information. (B)</p> Signup and view all the answers

    Which of these is NOT mentioned in the text as a key benefit of learning about information systems in a business context?

    <p>Enhanced communication and collaboration within the organization. (C)</p> Signup and view all the answers

    Which of the following is NOT a component of an information system?

    <p>Standards (C)</p> Signup and view all the answers

    How do information systems contribute to the achievement of company objectives?

    <p>All of the above. (D)</p> Signup and view all the answers

    What is the relationship between Information Technology (IT) and information systems?

    <p>IT is a subset of information systems, focusing specifically on the hardware, software, and telecommunications aspects. (A)</p> Signup and view all the answers

    Which of the following is a potential role of people within an information system?

    <p>All of the above. (D)</p> Signup and view all the answers

    Which of these career paths could benefit from using information systems?

    <p>All of the above. (D)</p> Signup and view all the answers

    Which version of Excel can handle CSV and XML data import using the "From Other Sources" option?

    <p>Excel 16.31 (Mac - Previous Version) (B)</p> Signup and view all the answers

    How does Excel 16.31 (Mac - Later Version) handle CSV file imports?

    <p>Data =&gt; Get Data =&gt; From File =&gt; From Text/CSV (B)</p> Signup and view all the answers

    Which Excel version allows users to import data from both CSV and XML files using the 'Get External Data' menu option?

    <p>Excel 16.31 (Mac - Previous Version) (B)</p> Signup and view all the answers

    Which data format represents structured information using tags?

    <p>XML (B)</p> Signup and view all the answers

    What is the significance of the 'Book' option when importing an XML file in Excel 16.31 (Mac - Later Version)?

    <p>It refers to the specific XML file being imported, such as 'book.xml'. (D)</p> Signup and view all the answers

    What type of data does 'Qualitative Data' refer to?

    <p>Data that includes descriptive details and non-numeric qualities, like colors, textures, and smells. (D)</p> Signup and view all the answers

    How can you identify the version of Excel you are currently using on a Mac?

    <p>Go to 'Excel' &gt; 'About Excel' (D)</p> Signup and view all the answers

    Which of the following is NOT a characteristic of XML (Extensible Markup Language)?

    <p>XML uses commas to separate data fields. (A)</p> Signup and view all the answers

    What is the primary function of the 'Next' button during CSV and XML import using the 'Data => Get Data' method in Excel 16.31 (Mac - Later Version)?

    <p>It advances the import process and presents further options for data manipulation. (A)</p> Signup and view all the answers

    Which Excel versions utilize a streamlined method for importing CSV and XML files, employing the 'Data => Get Data' interface?

    <p>Excel 2019-2021 and Excel 16.31 (Mac - Later Version) (B)</p> Signup and view all the answers

    Study Notes

    Course Title and Instructor

    • Course: Fundamental of Information Systems
    • Instructor: Dr. Phyu Hnin Thike
    • Email: [email protected]

    Module Overview

    • Module Title: Fundamentals of Information Systems
    • Textbook: "Introduction to Information Systems", 2018, Patricia Wallace, Third Edition, Pearson
    • Module Duration: 10 weeks

    Module Aims

    • To provide learners with an understanding of computerized data processing and analysis in a business context.
    • To demonstrate how information systems enable people to access necessary information, collaborate effectively, make informed decisions, and execute business operations efficiently.

    Learning Objectives

    • Identify various states of data, its nature, and structure.
    • Determine the function of an Information System, its types, and supporting building blocks.
    • Understand the methodologies, IS development lifecycle, and other systems for reporting and data analysis.
    • Discuss the uses of Information Systems in business organizations.

    Module Schedule

    • Week 1-2: Introduction to Information Systems, Information Systems and Strategy
    • Week 3-4: Information and Communication Technologies, The Enterprise Architecture
    • Week 5-6: Databases and Data Warehouses, Information Systems for the Enterprise
    • Week 7-8: The Web, Social Media, E-Commerce, M-Commerce, Ethics, Privacy, Security, Systems Development, Procurement, Business Intelligence, Decision Making, Collaborating with Technology, Knowledge Management, E-Learning
    • Week 9-10: Project Management, Strategic Planning, Revision

    Assessment

    • Coursework Report: 100%, focusing on data analysis, information systems, business intelligence, and IT inventory management.
    • Phase Test: 100%, consisting of 50 multiple-choice questions covering the module's topics and is an individual assessment. Closed book.

    Today's Topic

    • Basic concept of Data & Information
    • How does Information become?
    • Type and States of Data
    • What is Information System?

    Data

    • Raw, unorganized collection of facts.
    • Often seemingly random and useless until organized.
    • Example: A student's test score is a piece of data.

    Information

    • Processed, organized, structured, or presented data, in a context, that is useful.
    • Example: The average test score of a class or school is information derived from the raw data.

    How does information become?

    • Information based on data.
    • Data must be true, realistic, practical and analyzed.
    • Data type must also be qualitative or quantitative.

    What makes information valuable?

    • Timeliness (Especially important for information like stock prices)
    • Accuracy
    • Completeness
    • Economical
    • Accessibility

    Falsified Data

    • Falsified data leads to wrong information.
    • The "Garbage In – Garbage Out" principle applies in computing. Input must be accurate for output to be correct.

    Data Analytics

    • Data analysis requires understanding of various types of data.

    Types and States of Data

    • Structured Data: Stored in database tables (rows/columns). Only 5-10% of data.
    • Semi-Structured Data: Combines structured and unstructured data; has organizational properties for easier analysis. Examples: CSV (Comma-Separated Values) and XML (Extensible Markup Language) documents.
    • Unstructured Data: Primarily text and multimedia content; represents roughly 80% of all data. Examples: emails, documents, videos, images, webpages.
    • Qualitative Data: Descriptive, categorical, observed, and not measured. Examples: colors, textures, smell, tastes.
    • Quantitative Data: Numerical, measurable, and observable. Examples: money, time, speed, and measurements like area, height, temperature.

    Information System

    • A system where four critical components—people, technology, processes, and data—work together to collect, manage, process, and analyze data to produce useful information; used for companies to solve problems and make decisions.

    Components of an Information System

    • People: Teams involved in the design, development, launch, and maintenance of information systems. Include roles such as visionaries, developers, managers, analysts, liaisons, users, customers, and contributors.
    • Technology: Hardware, software, and telecommunications used in information systems. Includes computers, networks, and software programs.
    • Processes: Activities designed to achieve a task. BPM (Business Process Management) designs, optimizes, and streamlines processes, taking into account the human elements and organizational culture.
    • Data: Raw facts that are assembled and analyzed to add meaning.

    Further Study

    • Today's discussion will encourage you to obtain and analyze relevant data and generate your own quantitative and qualitative data, as requested in the discussion section.
    • The next lecture will focus on Information Systems and Strategy.

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    Related Documents

    Week 1 Module Overview & Introduction IS (C2) PDF

    Description

    Test your understanding of key concepts in data analytics, including the transformation of data into information and the importance of data quality. This quiz explores the characteristics of valuable information and the implications of 'Garbage In - Garbage Out'. Assess your knowledge with scenarios and definitions related to data types and information quality.

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