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Chapter 8: Data Analytics and Modeling

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Chapter 8: Data Analytics and Modeling

9 problems · 0 figures

8-1 §8.1 source ↗

What is an accurate definition of data analytics?
  1. a.
    the process of collecting and storing large volumes of data
  2. b.
    the practice of examining, cleaning, and transforming data to uncover insights
  3. c.
    the use of statistical methods to forecast future market trends
  4. d.
    the integration of structured and unstructured data into a centralized database

Answer

B. the practice of examining, cleaning, and transforming data to uncover insights

8-3 §8.1 source ↗

What is one of the significant challenges associated with big data collection and use?
  1. a.
    lack of available data sources
  2. b.
    slow processing speed
  3. c.
    insufficient storage capacity
  4. d.
    data volume, velocity, and variety

Answer

D. data volume, velocity, and variety

8-5 §8.2 source ↗

What are some benefits of implementing business intelligence in an organization?
  1. a.
    streamlined decision-making, improved efficiency, and enhanced data security
  2. b.
    increased satisfaction, reduced employee turnover, and improved supply chain management
  3. c.
    enhanced data visualization, improved data governance, and increased data storage capacity
  4. d.
    higher market share, improved brand awareness, and increased sales revenue

Answer

A. streamlined decision-making, improved efficiency, and enhanced data security

8-7 §8.2 source ↗

What is the primary purpose of data visualization in the context of business intelligence?
  1. a.
    to present data in an aesthetically pleasing manner
  2. b.
    to summarize complex data and highlight patterns or trends
  3. c.
    to ensure data security and protect sensitive information
  4. d.
    to store and organize large volumes of data for future analysis

Answer

B. to summarize complex data and highlight patterns or trends

8-9 §8.2 source ↗

What key principle underlies predictive analytics?
  1. a.
    visualizing historical data patterns
  2. b.
    summarizing and visualizing data for decision-making
  3. c.
    identifying meaningful relationships and patterns within data
  4. d.
    simulating various scenarios to optimize future outcomes

Answer

C. identifying meaningful relationships and patterns within data

8-11 §8.3 source ↗

What is clustering in data analytics?
  1. a.
    a technique for predicting future outcomes based on historical data
  2. b.
    the process of identifying relationships between variables to determine cause and effect
  3. c.
    a method for categorizing data into groups based on similarities
  4. d.
    an approach for analyzing data to uncover patterns and trends

Answer

C. a method for categorizing data into groups based on similarities

8-13 §8.3 source ↗

What step in the data-driven decision-making process involves using techniques such as classification, regression, clustering, and association analysis to uncover patterns and trends within the collected data?
  1. a.
    problem identification
  2. b.
    data collection
  3. c.
    interpretation of analytics
  4. d.
    data analysis

Answer

D. data analysis

8-15 §8.4 source ↗

What can organizations measure using web analytics?
  1. a.
    emotional responses of users
  2. b.
    physical sales in brick-and-mortar stores
  3. c.
    the impact of marketing campaigns
  4. d.
    the color scheme of their website

Answer

C. the impact of marketing campaigns

8-17 §8.4 source ↗

What is the primary purpose of A/B testing in website optimization?
  1. a.
    to optimize website content with relevant keywords
  2. b.
    to analyze user behavior and traffic sources
  3. c.
    to compare and determine which web page variation performs better
  4. d.
    to acquire high-quality backlinks for the website

Answer

C. to compare and determine which web page variation performs better

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Problems and answers are adapted from Foundations of Information Systems by Mahesh S. Raisinghani, OpenStax, and are used under the CC BY-NC-SA 4.0 licence. Access for free at https://openstax.org/books/foundations-information-systems/pages/1-introduction. Illustrations: Copyright Rice University, OpenStax, under CC BY-NC-SA 4.0 license. This adaptation is released under the same licence, is non-commercial, and is neither affiliated with nor endorsed by OpenStax or Rice University.