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Data-driven Decision Making Week 1 Quiz Answers

In this article i am gone to share Coursera Course Data-driven Decision Making Week 1 Quiz Answers with you..

Data-driven Decision Making
Week 1 Quiz Answers

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Quiz 1 Answers

Question 1)
What is the correct definition of data analytics?
  • Collecting of information so that it can be easily accessed, managed and updated
  • Interpreting customer reactions to a given product or initiative
  • Examining raw data in order to draw conclusions about the information
  • Organizing and implementing policies, procedures and standards for effective use of data
Question 2)
How is the current huge volume of structured and unstructured data sets impacting organizations?
  • It is overwhelming the current technology available to organizations
  • It is causing organizations to spend more money on data storage
  • It is providing organizations with the ability to gain insights once technologically impossible or economically impractical
Question 3)
What does data and analytics give organizations the ability to do?
  • Identify growth opportunities and drive innovation
  • Identify growth opportunities and operate more efficiently
  • Drive innovation, operate more efficiently, reduce amount of unstructured data
  • Identify growth opportunities, drive innovation and operate more efficiently
Question 4)
What are the four steps organizations use to solve problems?
  • Volume, Velocity, Variety, and Veracity
  • Implementation, Measurement, Analytics, and Course Correction
  • Planning, Implementation, Measurement, and Course Correction
  • Planning, Predictive, Descriptive, and Prescriptive
Question 5)
Over the past year, sales of your client’s product have decreased by 35% in South America, but have grown by 15% in all other parts of the world. At what phase of the business problem solving process would you use analytics to build future state scenarios?
  • Analysis
  • Planning
  • Implementation
  • Course correction
Question 6)
By blending the art of leadership and judgment with the science of analytic excellence, what can organizations do?
  • Increase their profit margin
  • Perform predictive analysis
  • Make better and faster decisions
  • Decrease the amount of data in their organization
Question 7)
Why do we have a data and analytics framework?
  • it is required by regulatory agencies
  • It allows people to use different approaches
  • It allows organizations to move through data analysis in an organized way
  • It lets organizations start with data before determining required business outcomes
Question 8)
What are the aspects of the data and analytics framework?
  • Discovery, Actions, Planning, Outcomes
  • Discovery, Insights, Actions, Outcomes
  • Planning, Actions, Measurement, Course Correction
  • Planning, Implementation, Measurement, Course Correction
Question 9)
An organization needs to understand why things are happening in their organization. What type of analytics should they use?
  • Diagnostic analytics
  • Prescriptive analytics
  • Descriptive analytics
  • Predictive analytics
Question 10)
An organization is trying to determine if they should increase the production of their product. To help answer the  of how much their customers are likely to buy in the future, what type of analytics should this organization perform?
  • Predictive analytics
  • Diagnostic analytics
  • Descriptive analytics
  • Prescriptive analytics
Question 11)
What does Adaptive and Autonomous analytics do?
  • Helps you understand the current state of affairs
  • Predicts what could happen in the future based on evidence
  • Builds a real-world model, takes actions and learns from the environment
  • Allows you to determine the right course of action needed to take today in order to solve a future problem