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.

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 . Review the results with management ahead of time and highlight any potential risk of using this data
B . Confidence that the correlation will reliably occur in the future and the risk of acting on this is low
C . Followed all rules for data analysis endorsed as organizational standards so the risk of acting on this is low
D . The ability to rerun the data analysis and the results are the same thereby minimizing the risk of acting on this

View Answer

Answer: D

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.

Reference:

• 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