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Certification in Business Data Analytics Questions 71–75 (page: 16)

Updated On: 10-Feb-2026

A new dataset describing employee salaries is received by a company. A colleague wonders whether a variable follows a Gaussian distribution.
Which of the following plots would demonstrate this?

  1. Normal probability plot
  2. Scatterplot
  3. Boxplot
  4. Lowess curve

Answer(s): A

Explanation:

A normal probability plot is a graphical technique that can be used to check if a variable follows a Gaussian distribution. It plots the observed values of the variable against the expected values under the normal distribution. If the variable is normally distributed, the points should form a straight line. A scatterplot, a boxplot, and a lowess curve are not suitable for testing normality, as they do not compare the observed values with the theoretical values of the normal distribution. https://www.graphpad.com/support/faq/testing-data-for-normal-distrbution/



Collaborative games are used by a business analyst to identify the research questions to be explored within an analytics system.
Participants are asked to write down a research question on a sticky note, put the notes on the wall, and move them towards related research questions.
What type of Collaborative game is being played?

  1. Affinity Map
  2. Fishbowl
  3. People polling
  4. Product Box

Answer(s): A

Explanation:

An affinity map is a collaborative game that helps participants to group similar ideas or features together. It is useful for identifying research questions that are related to each other and finding common themes or patterns. In this game, participants write down their research questions on sticky notes and place them on the wall. Then, they move the notes around to form clusters of related questions. The clusters can be labeled with a descriptive name or a question that summarizes the theme. An affinity map can help participants to prioritize the most important or relevant research questions and generate insights from the data. https://businessanalystmentor.com/collaborative- games-business-analysis/



An analytics system is being developed by relying entirely on research questions that are framed using the results from benchmarking.
Which research question is being asked?

  1. Which customers provide the greatest profit to the company?
  2. How efficient is the company compared to its competitors?
  3. Will more profit be made if we increase or decrease our sales price?
  4. Which employees are we in danger of losing?

Answer(s): B

Explanation:

Benchmarking is a method of comparing the performance of a business with others in the same industry or with industry standards12. It helps to identify areas of improvement and best practices for superior performance34. A research question that is framed using the results from benchmarking would focus on how the company compares to its competitors or to the industry average on a specific metric or process. For example, how efficient is the company compared to its competitors? This question would require the company to measure its efficiency using a relevant indicator, such as cost per unit, time per task, or output per employee, and compare it to the same indicator for its competitors. This would help the company to identify its strengths and weaknesses, and to find ways to improve its efficiency and gain a competitive advantage



Based on the financial analysis that's been completed by the analytics team, the business analysis professional reminds the team that the most financially feasible option is the one with the:

  1. Highest ROI, highest present value, lowest NPV and highest payback period
  2. Highest ROI, highest present value, highest NPV, and lowest payback period
  3. Highest ROI, lowest present value, lowest NPV and highest payback period
  4. Highest ROI, lowest present value, highest NPV and lowest payback period

Answer(s): B

Explanation:

The most financially feasible option is the one that maximizes the return on investment (ROI), the present value (PV), and the net present value (NPV), and minimizes the payback period. ROI measures the annual percentage return of an investment, PV measures the current value of future cash flows, NPV measures the difference between the PV and the initial cost of an investment, and payback period measures the time it takes to recover the initial cost of an investment. A higher ROI, PV, and NPV indicate a more profitable and valuable investment, while a lower payback period indicates a faster recovery and lower risk of an investment



Interested in building out the analytics capability based on the positive results obtained by past analytics efforts, the Chief Marketing Officer (CMO) pitches the idea of using analytics to guide future decision making across the enterprise. Before allocating budget to build up an enterprise analytics practice, the decision makers should:

  1. Request that a small team be assembled to brainstorm a list of capabilities to develop with any approved monies
  2. Identify the sponsor and a project manager who can collaborate on the development of the project charter
  3. Oversee the completion of up-front analysis to determine how value can be achieved through an enterprise-wide analytics practice
  4. Determine if the company has the sufficient resources to build up the analytics practice

Answer(s): C

Explanation:

Before investing in an enterprise analytics practice, the decision makers should have a clear understanding of the expected value and benefits of such a practice. This requires conducting an up- front analysis that identifies the business problems or opportunities that can be addressed by analytics, the data sources and technologies that are needed, the analytical models and methods that are appropriate, and the metrics and indicators that will measure the impact and outcomes of the analytics solutions12. This analysis will help to define the scope, objectives, and requirements of the enterprise analytics practice, as well as the resources, roles, and governance structures that are necessary to support it34. An up-front analysis will also help to prioritize the analytics initiatives based on their feasibility, alignment with the business strategy, and potential value creation



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