foundations of business intelligence coursera week 3 quiz answers

Test your knowledge: Constant change and other limitations

1. A business intelligence professional considers the origin of a dataset, as well as what the data might have an impact on. What business intelligence practice does this situation involve?

  • Contextualization
  • Research
  • Interpretation
  • Mapping

2. Data integrity, data visibility, update frequency, and change are all aspects of what key business intelligence consideration?

  • Data strategy
  • Data performance
  • Data maturity
  • Data availability

3. A soap maker recently implemented a new record-keeping process. This compromised the integrity of its business intelligence solution when using data about recent sales at a local craft fair. What data limitation does this situation describe?

  • Change
  • Data integrity
  • Data visibility
  • Update frequency

Test your knowledge: Move beyond data limitations

4. A business intelligence professional working at a beach towel manufacturer creates a dashboard to highlight the spike in sales that happens each summer season. The vice president of sales instead asks for a dashboard that reveals year-over-year results. In this situation, what is the vice president trying to accomplish?

  • Ensure all metrics are measurable
  • Eliminate vanity metrics
  • Use only very specific metrics
  • Limit the number of metrics

5. A business intelligence professional is determining which metrics to include on a dashboard. They confirm that they have the necessary technologies and processes in place to obtain and analyze the data they need for each metric. What principle does this situation describe?

  • Data integrity
  • Data governance
  • Data availability
  • Data partitioning

6. Which of the following statements accurately describe a dashboard best practice? Select all that apply.

  • Display supporting metrics below the top metric, as they reinforce it.
  • Supporting metrics should rise up from the base, as they grow from the most important metric.
  • Display the most important metric at the top.
  • Display the most important metric at the base, as it is the foundation of the dashboard.

Weekly challenge 3

7. When you contextualize, you offer important perspective. What are some key elements to consider when contextualizing a dataset? Select all that apply.

  • The motivation behind it
  • How it might be improved
  • Where it fits within a larger setting
  • The origin and other relevant background information

8. A business intelligence professional considers how each stakeholder will use the dashboard they create. This is an important part of prioritizing what within an organization?

  • Business metrics
  • Cross-functional relationships
  • Processing speed
  • Advanced analytics

9. Data integrity pertains to which aspects of data throughout its life cycle? Select all that apply.

  • Accuracy
  • Trustworthiness
  • Evolution
  • Completeness

10. A business intelligence professional spends some time researching the data that will be used in an upcoming project. They want to ensure that it is timely, relevant, readily accessible, and able to be put to use. What business intelligence concept does this scenario describe?

  • Data openness
  • Data availability
  • Data dimensions
  • Data range

11. In order to identify what data is available to be monitored, a business intelligence professional works with their colleagues to create a list of relevant integrated data repositories. What business intelligence concept does this scenario describe?

  • Data transfer
  • Data manipulation
  • Data visibility
  • Data blending

12. Fill in the blank: A gardening business uses data from seed producers, irrigation companies, and local farms. The business intelligence team manages _____ because the three sources refresh their data at different intervals.

  • diverse databases
  • non-live data
  • data push schedules
  • update frequency

13. Why are vanity metrics unlikely to reveal meaningful business insights?

  • They involve outliers
  • They use unstructured data
  • They are not indicative of actual performance
  • They don’t have a high confidence level

14. A business intelligence professional considers what they need in order to have the proper metrics on a dashboard. In this situation, what items should they ensure are in place? Select all that apply.

  • Budget items
  • Processes
  • Technologies
  • Business objectives

15. A business intelligence professional working at a beach towel manufacturer

  • Ensure all metrics are measurable
  • Eliminate vanity metrics
  • Use only very specific metrics
  • Limit the number of metrics

16. When designing a dashboard, it’s important to prioritize the cross-functional relationships within the organization. What activities does this involve? Select all that apply.

  • Considering how business intelligence aligns with the teams’ overall business objectives
  • Empowering users with numerous dashboards that can be found in multiple places
  • Focusing on collaboration by creating an easily accessible dashboard
  • Understanding how each particular stakeholder will use the dashboard

17. The degree or extent to which information can be identified, monitored, and integrated from disparate internal and external sources describes which business intelligence concept?

  • Data manipulation
  • Data visibility
  • Data blending
  • Data transfer

18. Update frequency describes challenges associated with _____ refreshing their information at different times.

  • internal databases
  • diverse dashboard users
  • cross-functional stakeholders
  • disparate data sources

19. When determining which metrics to include on a dashboard, a business intelligence professional makes four key considerations: They first focus on using only metrics that are critical to project success. What are the other three considerations they make in this situation

  • Make sure metrics are aligned with business objectives.
  • Eliminate metrics that don’t support stakeholder expectations.
  • Confirm that necessary technologies and processes are in place.
  • Avoid vague or very high-level metrics.

20. Fill in the blank: Some key considerations when _____ a dataset include where it came from and other relevant background information, the motivation behind it, and where it fits within a larger setting.

  • positioning
  • contextualizing
  • diagramming
  • situating

21. Data visibility is the degree or extent to which a business intelligence professional can do what with data from disparate internal and external sources? Select all that apply.

  • Monitor the data
  • Integrate the data
  • Analyze the data
  • Identify the data

22. Fill in the blank: A business intelligence professional is working to improve a dashboard. Currently, it features _____, such as the number of social media followers and monthly page views. They decide to focus on more meaningful metrics instead.

  • biased metrics
  • vanity metrics
  • constrained metrics
  • spotlight metrics

23. A business intelligence professional at a building company considers when a dataset was created and what was happening in the construction industry at that time. What business intelligence concept does this scenario describe?

  • Contextualizing
  • Situating data
  • Positioning
  • Continuous improvement

24. Fill in the blank: A business intelligence professional is considering the accuracy, completeness, consistency, and trustworthiness of data. They want to ensure the data _____ of their dataset.

  • integrity
  • composition
  • ethics
  • structure

25. Which business intelligence concept involves the degree or extent to which timely and relevant information is readily accessible and able to be put to use?

  • Data availability
  • Data dimensions
  • Data openness
  • Data range

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