[Dec 27, 2023] CBDA Exam Dumps - 100% Marks In CBDA Exam!
Exam Dumps Use Real Business Data Analytics Dumps With 75 Questions!
NEW QUESTION # 28
While creating a dataset for analysis, the analyst reviews the data collected and finds a large percentage of records are missing values. Which activity would the analyst perform in order to use this dataset?
- A. Factor analysis
- B. Weighting
- C. Scale validation
- D. Clustering
Answer: B
Explanation:
Explanation
Weighting is a technique that assigns different values or weights to different records or variables in a dataset, based on their importance or relevance. Weighting can be used to handle missing values by giving them a lower weight or imputing them with a weighted average of other values. Weighting can also help to adjust for sampling bias or non-response bias in the data collection process. References:
*Understanding the Guide to Business Data Analytics, page 16
*Business Analysis Certification in Data Analytics, CBDA | IIBA®, CBDA Competencies, Domain 3:
Analyze Data
*CERTIFICATION IN BUSINESS DATA ANALYTICS HANDBOOK - IIBA®, page 8, CBDA Exam Sample Questions and Self-Assessment, Question 4
NEW QUESTION # 29
An analytics team is interested in reviewing the results of a public opinion poll that is going to be conducted at the end of the month. One of the factors the team is interested in, is ensuring the result set is statistically significant. Why would this factor be important to the team?
- A. Ensure that results are not biased or random
- B. To make sure the criteria for the target audience is met
- C. Guarantee that the objectives of the poll are met
- D. Improve the likelihood of receiving a response rate of 100%
Answer: A
Explanation:
Explanation
Ensuring the result set is statistically significant is important to the team because it means that the difference or relationship observed in the data is unlikely to be due to chance or sampling error. Statistical significance helps the team to assess the validity and reliability of their findings, and to draw meaningful conclusions and recommendations from the data. Statistical significance also helps the team to communicate their results with confidence and credibility to the stakeholders and decision makers12 References: 1: An Easy Introduction to Statistical Significance (With Examples) - Scribbr 2: Statistical Significance in Experimentation and Data Analysis - All About Circuits
NEW QUESTION # 30
Operation managers are concerned about the increasing attrition rates in the call center. A series of interviews is being conducted with call center agents to collect information to better understand the problem.
Interviewees will ask open and closed ended questions that are both quantitative and qualitative. Which of the following is considered a qualitative open-ended question?
- A. Do you receive more calls on Mondays or Fridays?
- B. How many calls on average do you service in an hour?
- C. How does call volume contribute to job burnout?
- D. Would morale improve if you could work 2 days per week from home?
Answer: C
Explanation:
Explanation
A qualitative open-ended question is a question that allows the respondent to express their thoughts, feelings, or opinions in their own words, without being constrained by predefined options or categories. A qualitative open-ended question can help the interviewer explore the underlying reasons, motivations, or perceptions of the respondent. Option A is a qualitative open-ended question, because it asks the respondent to explain how call volume affects their job satisfaction and well-being, which may vary from person to person and require elaboration. Options B, C, and D are not qualitative open-ended questions, because they ask the respondent to choose between two alternatives (B and D) or provide a numerical value ©, which are quantitative and closed-ended responses. References:
*Business Analysis Certification in Data Analytics, CBDA | IIBA®, CBDA Competencies, Domain 2: Source Data
*Understanding the Guide to Business Data Analytics, page 14
*CERTIFICATION IN BUSINESS DATA ANALYTICS HANDBOOK - IIBA®, page 8, CBDA Exam Sample Questions and Self-Assessment, Question 9
NEW QUESTION # 31
Based on the results of a recently completed analytics initiative, the Human Resource department for a major department store implemented a change to its hiring practice to address the attrition rates of its sales associates. The new policy stated that candidates applying for sales positions must possess at least 3 years of relevant sales experience to be considered. After implementing the change, attrition rates are 10% higher and management is frustrated. Which of the following could result in this outcome?
- A. Analytics is not helpful given this situation
- B. The change proposed is not aligned to company strategy
- C. The results of analysis have been incorrectly interpreted
- D. Sales experience is not a relevant skill
Answer: B
Explanation:
Explanation
The change proposed is not aligned to company strategy, because it may not address the root cause of the attrition problem, or it may conflict with other organizational goals or values. For example, the change may reduce the pool of qualified candidates, increase the hiring costs, or lower the diversity or customer satisfaction of the sales team. The change may also ignore other factors that influence the attrition rates, such as compensation, training, feedback, or recognition. Therefore, the change may not achieve the desired outcome of reducing attrition, and may even worsen it. References:
*Business Analysis Certification in Data Analytics, CBDA | IIBA®, CBDA Competencies, Domain 5: Use Results to Influence Business Decision Making
*Understanding the Guide to Business Data Analytics, page 9
*CERTIFICATION IN BUSINESS DATA ANALYTICS HANDBOOK - IIBA®, page 8, CBDA Exam Sample Questions and Self-Assessment, Question 13
NEW QUESTION # 32
The team has completed their analysis on a vast amount of collected data and agree on their recommendations for action.
However, they are having difficulty in developing the appropriate messages to support their recommendations.
The business analysis professional suggests which technique to assist the team?
- A. Storyboarding
- B. T-Testing
- C. Visioning
- D. Simulation
Answer: A
Explanation:
Explanation
Storyboarding is a technique that helps the team to develop the appropriate messages to support their recommendations by creating a visual sequence of the main points, evidence, and actions. Storyboarding helps the team to organize their thoughts, identify gaps, and communicate their findings in a clear and compelling way12 References: 1: Developing Key Messages for Effective Communication - MSKTC 2: 11 Ways Highly Successful Leaders Support Their Team - Redbooth
NEW QUESTION # 33
An online retailer has been successful utilizing analytics to guide decisions on product placement and marketing spend.
Management has requested a task force be assembled to make recommendations on how to further develop their analytics capabilities. To begin this work, the task force builds a model to develop a shared understanding about customer segments, customer relationships, key partnerships, and the company's value proposition. The team has leveraged the following model to facilitate this discussion?
- A. CATWOE
- B. Business model canvas
- C. Balanced scorecard
- D. Value chain analysis
Answer: B
Explanation:
Explanation
The business model canvas is the model that the task force has leveraged to facilitate the discussion, because it is a technique that describes the logic of how an organization creates, delivers, and captures value. The business model canvas consists of nine building blocks that cover the key aspects of a business: customer segments, value proposition, channels, customer relationships, revenue streams, key resources, key activities, key partnerships, and cost structure. The business model canvas can help the task force develop a shared understanding of the current state of the online retailer, and identify the opportunities and challenges for developing their analytics capabilities. References:
*Business Analysis Certification in Data Analytics, CBDA | IIBA®, CBDA Competencies, Domain 6: Guide Organization-level Strategy for Business Analytics
*Understanding the Guide to Business Data Analytics, page 9
*10.8 Business Model Canvas | IIBA®
NEW QUESTION # 34
The interplay between enterprise systems and data analytics can be envisioned at various layers. The layer that connects the business processes to data analytics is the:
- A. infrastructure layer
- B. information layer
- C. technical layer
- D. physical layer
Answer: B
Explanation:
Explanation
The information layer is the layer that connects the business processes to data analytics. It consists of the data models, data quality, data governance, and data security that enable the data to be accessed, analyzed, and transformed into insights. The information layer also supports the communication and collaboration among the stakeholders involved in the data analytics process. The other layers are the physical layer, which deals with the hardware and software components of the data infrastructure; the technical layer, which handles the data integration, data storage, data processing, and data analysis techniques; and the infrastructure layer, which provides the network, cloud, and security services for the data environment12 References: 1: Data and Analytics (D&A) - Gartner 2: Enterprise Data Analytics - SelectHub
NEW QUESTION # 35
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:
- A. Highest ROI, lowest present value, lowest NPV and highest payback period
- B. Highest ROI, highest present value, lowest NPV and highest payback period
- C. Highest ROI, highest present value, highest NPV, and lowest payback period
- D. Highest ROI, lowest present value, highest NPV and lowest payback period
Answer: C
Explanation:
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
NEW QUESTION # 36
After analyzing sales data, the analytics team finds that the older the customer, the more expensive the neckties purchased. The team felt this was a breakthrough insight but on closer analysis realized that other factors could account for this relationship. This is a clear indication that:
- A. Correlation between variables does not imply causation
- B. Causation between variables does not imply correlation
- C. Correlation between variables implies causation
- D. Causation has no relationship with correlation
Answer: A
Explanation:
Explanation
The analytics team found a correlation between the age of the customer and the price of the neckties purchased, meaning that as one variable changes, the other tends to change in the same direction. However, this correlation does not imply causation, meaning that one variable does not necessarily cause the other to change. There could be other factors, such as income, preference, or quality, that affect both variables and create a spurious relationship. Therefore, the team realized that they need to investigate further to determine if there is a causal link between the variables, or if the correlation is coincidental12 References: 1: Correlation vs. Causation | Difference, Designs & Examples - Scribbr 2: Correlation vs Causation: Understanding the Differences - Statistics By Jim
NEW QUESTION # 37
A lab is conducting a study on protein interactions. They have used the data to create a graph visualization. In graph visualization, what would a layout be?
- A. A link between two data points
- B. A collection of data points and links
- C. A dedicated algorithm that calculates the node positions
- D. A single data point
Answer: C
Explanation:
Explanation
A layout is a way of arranging the nodes and links of a graph visualization to convey meaningful information about the data. A layout is determined by a dedicated algorithm that calculates the node positions based on certain criteria, such as minimizing edge crossings, maximizing node spacing, or emphasizing clusters12. A layout can also be influenced by user interaction, such as zooming, panning, or dragging3. References: 1:
Guide to Business Data Analytics, IIBA, 2020, p. 642: Graph Drawing: Algorithms for the Visualization of Graphs, Giuseppe Di Battista et al., 1999, p. 33: Interactive Data Visualization: Foundations, Techniques, and Applications, Matthew O. Ward et al., 2015, p. 227.
NEW QUESTION # 38
The research question prompting the use of analytics is well-defined. The team obtains the results and determines that the source data did not provide reliable results. As a result of this finding, the team modifies the original question to one that can be answered by the data. What is a risk that could impact the value of this analysis?
- A. Increased costs associated with the source data
- B. The quality of the analysis may be negatively impacted
- C. The objective of the original research may not be met
- D. Timelines will be pushed out making stakeholders unhappy
Answer: C
Explanation:
Explanation
The risk that could impact the value of this analysis is that the objective of the original research may not be met, because the team modified the research question to fit the data, rather than finding the data that fits the research question. This could lead to a loss of alignment between the research question and the business problem, stakeholder needs, or analytical methods. The team may end up answering a different or less relevant question than the one they intended to answer, and thus provide less valuable insights or recommendations.
References:
*Business Analysis Certification in Data Analytics, CBDA | IIBA®, CBDA Competencies, Domain 1: Identify the Research Questions
*Understanding the Guide to Business Data Analytics, page 10-11
*CERTIFICATION IN BUSINESS DATA ANALYTICS HANDBOOK - IIBA®, page 8, CBDA Exam Sample Questions and Self-Assessment, Question 10
NEW QUESTION # 39
A large car manufacturer is interested in comparing the number of sales for a specific model of electric car across all 50 US states.
The data analytics team sourced and acquired the data, and the business analyst created the model to compare sales across states.
In a meeting to review the results, the feedback received included several complaints concerning an inability to distinguish the number of sales per state. What model would result in such confusion?
- A. Dual axis chart
- B. Pie chart
- C. Bullet chart
- D. Bar chart
Answer: B
Explanation:
Explanation
A pie chart is a circular chart that shows the proportion of each category in a whole by dividing the circle into slices. A pie chart would result in confusion when comparing the number of sales for a specific model of electric car across all 50 US states, because it is difficult to compare the angles and areas of the slices, especially when there are many categories with similar values. A pie chart also does not show the absolute values of each category, unless they are labeled or annotated12. A better alternative would be a bar chart, which can show the number of sales for each state along a common axis, making it easier to compare and rank the values3. References: 1: Guide to Business Data Analytics, IIBA, 2020, p. 652: Storytelling with Data, Cole Nussbaumer Knaflic, 2015, p. 673: The Visual Display of Quantitative Information, Edward R. Tufte, 2001, p.
178.
NEW QUESTION # 40
The analytics team is assessing the results of their analysis. They are surprised to find that their data indicates two events seem to be strongly related even though the general belief in the organization is that they are independent of each other. Knowing that this information will be used for decision making, they are concerned about presenting this data. At an impasse, the business analysis professional reminds them that the data can be presented as long as the team has:
- A. Followed all rules for data analysis endorsed as organizational standards so the risk of acting on this is low
- B. Review the results with management ahead of time and highlight any potential risk of using this data
- C. The ability to rerun the data analysis and the results are the same thereby minimizing the risk of acting on this
- D. Confidence that the correlation will reliably occur in the future and the risk of acting on this is low
Answer: C
Explanation:
Explanation
The ability to rerun the data analysis and the results are the same is the condition that the team should have before presenting the data, because it is a technique that ensures the validity, reliability, and reproducibility of the data analysis. By rerunning the data analysis, the team can verify that the results are consistent and not affected by random errors, biases, or anomalies. The team can also confirm that the data analysis process is well-documented, transparent, and traceable, and that the results can be replicated by other analysts or stakeholders. This can minimize the risk of acting on the data, and increase the confidence and trust in the data analysis. References:
*Business Analysis Certification in Data Analytics, CBDA | IIBA®, CBDA Competencies, Domain 4:
Interpret and Report Results
*Understanding the Guide to Business Data Analytics, page 9
*Business Data Analytics (IIBA®-CBDA Exam preparation) | Udemy, Section 4: Interpret and Report Results, Lecture 20: Data Validation and Verification
NEW QUESTION # 41
The analytics team is struggling with which recommendation to make. Their challenge is that they have five good options and this indecision is stopping them from moving forward. To help the team finalize their recommendation, the BA professional on the team recommends they complete:
- A. Business rules analysis
- B. Root cause analysis
- C. Data flow diagrams
- D. Acceptance and evaluation criteria
Answer: D
Explanation:
Explanation
Acceptance and evaluation criteria are the techniques that the BA professional on the team should recommend they complete, because they are the standards or measures that are used to evaluate the suitability and value of each option. Acceptance and evaluation criteria can help the team compare the benefits, costs, risks, and impacts of each option, and determine which one best meets the needs and expectations of the stakeholders.
Acceptance and evaluation criteria can also help the team communicate the rationale and evidence behind their recommendation, and ensure that the recommendation is aligned with the business goals and objectives.
References:
*Business Analysis Certification in Data Analytics, CBDA | IIBA®, CBDA Competencies, Domain 5: Use Results to Influence Business Decision Making
*Understanding the Guide to Business Data Analytics, page 9
*Acceptance and Evaluation Criteria | Business Analysis
NEW QUESTION # 42
The analytics team has completed analyzing a dataset and unfortunately the data didn't deliver the kinds of insights that the team was hoping for. After much contemplation, they decide to:
- A. Inform management that analytics could not derive insightful results
- B. Wait a few weeks and rerun the analysis using refreshed data
- C. Restart the work with formation of a new research question
- D. Summarize the results and indicate the outcome was inconclusive
Answer: C
Explanation:
Explanation
The analytics team should restart the work with formation of a new research question, because the existing one may not be well-defined, relevant, or feasible. A well-formed research question is the first step of the business data analytics cycle, and it guides the subsequent steps of sourcing, analyzing, interpreting, and reporting data.
If the data analysis does not yield meaningful insights, the team should revisit the research question and refine it based on the business problem, stakeholder needs, data availability, and analytical methods. References:
*Understanding the Guide to Business Data Analytics, page 10-11
*Business Analysis Certification in Data Analytics, CBDA | IIBA®, CBDA Competencies, Domain 1: Identify the Research Questions
*CERTIFICATION IN BUSINESS DATA ANALYTICS HANDBOOK - IIBA®, page 8, CBDA Exam Sample Questions and Self-Assessment, Question 5
NEW QUESTION # 43
Interested in experimenting with analytics, a manufacturing company hires an analyst to see how the capability can be developed within its organization. The analyst is getting started and recognizes the need to show value from the onset of their work to gain upper management's trust and future funding. What action will accomplish these objectives?
- A. Perform a market analysis to understand how competitors are using analytics and then launch a similar initiative
- B. Develop a meaningful question that can be answered with data the company already has in its possession
- C. Develop a question that can be answered quickly regardless of alignment to strategy, just to get started
- D. Solve the biggest problem the organization has first to quickly grab the support and attention of senior management
Answer: B
Explanation:
Explanation
The best action for the analyst to show value from the onset of their work is to develop a meaningful question that can be answered with data the company already has in its possession. This way, the analyst can demonstrate the potential of analytics to solve relevant business problems, without spending too much time or resources on data collection or market research. The question should also be aligned with the organization's strategy and goals, and provide actionable insights for decision making12. References: 1: Guide to Business Data Analytics, IIBA, 2020, p. 202: Data Science for Business, Foster Provost and Tom Fawcett, 2013, p. 14.
NEW QUESTION # 44
A professor at a university has received a few complaints of the exams being too difficult. The professor is looking at exam performance results over the past 5 years to understand the normal tendency and outliers.
Which chart should the professor use?
- A. Scatterplot
- B. Line
- C. Sunburst
- D. Pie chart
Answer: A
Explanation:
Explanation
A scatterplot is a type of chart that shows the relationship between two variables by plotting data points on a two-dimensional plane. A scatterplot can help the professor to understand the normal tendency and outliers of exam performance results over the past 5 years by displaying the distribution, trend, and correlation of the data. For example, the professor can use the x-axis to represent the year and the y-axis to represent the exam score, and see how the scores vary over time and across different exams. Outliers can be identified as data points that are far away from the main cluster or the line of best fit12 References: 1: Scatter Plot - Statistics How To 2: Scatterplots - IIBA BABOK Guide v3
NEW QUESTION # 45
A real estate broker is tracking monthly sales between two of its teams. The results have been visualized. What insights can be drawn from the chart?
- A. Q4 was the lowest performing quarter with Team A having the lowest monthly sales in the Quarter
- B. Q2 was the strongest performing quarter with Team B having the top monthly sales in May
- C. Q3 was the strongest performing quarter with Team A having the top monthly sales in the quarter
- D. Q4 was the lowest performing quarter with November having the lowest monthly sales in the year
Answer: D
Explanation:
Explanation
The chart visualizes monthly sales data for two teams over a year, divided into quarters. By analyzing the data, it is evident that November (part of Q4) had the lowest monthly sales in the year, making option C correct.
There isn't enough information to verify the performance of individual teams in each quarter as per Business Data Analytics (IIBA®- CBDA) objectives and resources. References:
*[Business Analysis Certification in Data Analytics, CBDA | IIBA®], CBDA Competencies, Domain 4:
Interpret and Report Results
*[Understanding the Guide to Business Data Analytics], page 9
*[CERTIFICATION IN BUSINESS DATA ANALYTICS HANDBOOK - IIBA®], page 8, CBDA Exam Sample Questions and Self-Assessment, Question 7
NEW QUESTION # 46
The marketing department for a major restaurant chain is interested in testing a Kids Eat Free campaign to determine if it will help to increase sales. They are interested in piloting the campaign to determine which day of the week will improve sales the most.
The campaign is launched across 7 cities with each city promoting a different day of the week. The sales data is collected and provided to a team for analysis. What concern might the analytics team have regarding data quality across cities?
- A. Heteroskedacity
- B. Linearity
- C. Variation
- D. Normality
Answer: C
Explanation:
Explanation
Variation is the degree to which the data values differ from each other or from a central tendency measure, such as the mean or median. Variation can affect the data quality across cities, as it can indicate the presence of outliers, errors, noise, or inconsistency in the data collection or processing methods. Variation can also influence the statistical analysis and interpretation of the results, as it can affect the significance, confidence, and validity of the findings12. References: 1: Guide to Business Data Analytics, IIBA, 2020, p. 302: Statistics for Business and Economics, David R. Anderson et al., 2014, p. 83.
NEW QUESTION # 47
An analytics team has been asked to answer the following question: "Given that you're a customer, would you work at our company?" The team is concerned about answering this question because it is:
- A. Short
- B. Unclear
- C. Unethical
- D. Insignificant
Answer: B
Explanation:
Explanation
The question "Given that you're a customer, would you work at our company?" is unclear, because it is a hypothetical and subjective question that does not specify the purpose, scope, or context of the analysis. The question also does not define what constitutes a customer, or how the customer's experience or satisfaction relates to the employee's motivation or performance. The question needs to be refined and clarified to make it more focused, relevant, and feasible for the analytics team to answer. For example, the question could be rephrased as "How does the customer satisfaction score affect the employee retention rate in our company?" References:
*Business Analysis Certification in Data Analytics, CBDA | IIBA®, CBDA Competencies, Domain 1: Identify the Research Questions
*Understanding the Guide to Business Data Analytics, page 10-11
*CERTIFICATION IN BUSINESS DATA ANALYTICS HANDBOOK - IIBA®, page 8, CBDA Exam Sample Questions and Self-Assessment, Question 16
NEW QUESTION # 48
A call center has requested to review their sales conversion data for the month. The analyst working on this request is trying to identify the chart that will effectively present the data, which includes: the number of leads, the number of calls made, the number of calls completed, the number of customers interested and the number of sales. What chart should the analyst use to show the values across each stage of the pipeline?
- A. Bullet chart
- B. Bar chart
- C. Funnel chart
- D. Pie chart
Answer: C
Explanation:
Explanation
A funnel chart is a type of chart that shows the values of different stages of a process, such as a sales pipeline, where each stage represents a subset of the previous one. A funnel chart is useful for showing the conversion rate, the drop-off rate, and the potential revenue or profit at each stage12. A funnel chart would be an effective way to present the data requested by the call center, as it would show the number of leads, calls, customers, and sales, as well as the percentage of change between each stage. References: 1: Guide to Business Data Analytics, IIBA, 2020, p. 662: Data Visualization: A Practical Introduction, Kieran Healy, 2018, p. 233.
NEW QUESTION # 49
The results for a certification exam were revealed in percentage and percentile. The results for one of the attendees was: 75%, 90th percentile. What is the value in sharing the percentile score?
- A. The percentile score does not add any additional value in assessing the attendee's performance
- B. While the exam score is an objective score, the percentile is a relative score that assesses the attendee's score against the highest possible score
- C. The percentile score provides value by assessing the attendee's score against the average score for that exam
- D. By ranking, it provided additional insight on how the attendee performed in comparison to other attendees
Answer: D
Explanation:
Explanation
The percentile score provides value by ranking the attendee's score among all the scores of the exam takers. A percentile score of 90 means that the attendee scored higher than 90% of the exam takers, and only 10% scored higher than the attendee. This gives a relative measure of how the attendee performed in comparison to other attendees, and how competitive or exceptional the score is. The percentile score does not depend on the average or the highest possible score of the exam, but only on the distribution of the scores of the exam takers.
References:
*Business Analysis Certification in Data Analytics, CBDA | IIBA®, CBDA Competencies, Domain 4:
Interpret and Report Results
*Understanding the Guide to Business Data Analytics, page 9
*What is a Percentile? - Statistics By Jim
NEW QUESTION # 50
Insights based on the data collected indicate that a multi-national company could increase its sales of a mature product by reducing its price by 20% which would result in increased revenues of 2% over a 6-month period.
The team recommends this as an appropriate goal for its organization. This is considered a good goal because:
- A. It meets all the criteria for a well-defined objective
- B. Management will be pleased that the mature product can still contribute to revenue
- C. It indicates that the company does not have to incur costs associated with retiring this product
- D. The organization can derive additional revenue from the product
Answer: A
Explanation:
Explanation
A well-defined objective is one that is specific, measurable, achievable, relevant, and time-bound (SMART)1.
The goal of increasing sales of a mature product by reducing its price by 20% which would result in increased revenues of 2% over a 6-month period meets all these criteria, as it clearly states what the desired outcome is, how it will be measured, whether it is realistic and attainable, how it aligns with the organization's strategy, and when it will be achieved2. References: 1: Guide to Business Data Analytics, IIBA, 2020, p. 192: SMART Goals: How to Make Your Goals Achievable, MindTools, 2021, 1.
NEW QUESTION # 51
A manufacturing company, specializing in turf maintenance equipment, has recently seen a decline in their lawn mower sales. As a result, the analytics team is asked to review the latest customer satisfaction survey results. An analyst on this team creates a report for senior management with attractive visuals, supported by the KPI results. Upon reviewing the report, the analyst's manager mentions that the report is missing the narrative. What does this mean?
- A. Notes on assumptions and unavailable data for analysis
- B. A narrative that supports insights with additional context and draws correlations
- C. The data tables that support the visuals and help answer questions
- D. Commentary around why each graphic was selected to provide additional context
Answer: B
Explanation:
Explanation
A narrative is a written or spoken explanation of the data analysis results that tells a story with the data, provides additional context and background information, highlights the key insights and findings, and draws correlations and implications for the decision makers12. The report is missing the narrative, meaning that it does not communicate the meaning and value of the data analysis effectively, and it leaves the interpretation and action to the senior management without any guidance or recommendation34. References: 1: Guide to Business Data Analytics, IIBA, 2020, p. 672: Storytelling with Data, Cole Nussbaumer Knaflic, 2015, p. 93:
Data Storytelling: The Essential Data Science Skill Everyone Needs, Brent Dykes, 2016, 14: The Power of Data Storytelling, Harvard Business Review, 2018, 2.
NEW QUESTION # 52
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