Difficulty: Medium

Average Score: 50%

What is an outcome of the reporting step of data cleansing?

Rationale

Helps build trust in the overall project.

The reporting step of data cleansing is crucial for establishing transparency and credibility throughout the data management process. By providing clear communication about the data cleansing activities, stakeholders are more likely to trust the integrity and reliability of the project outcomes.

A (Chronologically documents how the data set evolved during the project) YOUR ANSWER

While documentation of the data set's evolution is important, it is not the primary outcome of the reporting step. This aspect focuses more on maintaining a historical record rather than fostering trust or validating the project’s results. The chronological documentation serves as a supportive function but does not directly contribute to stakeholder confidence.

C (Tracks changes, additions, and deletions involved in data cleaning) YOUR ANSWER

Tracking changes is a necessary part of the data cleansing process, but it is more of a procedural element than an outcome of the reporting step. This tracking ensures that modifications can be audited, yet it does not inherently build trust or assure stakeholders of the project's overall credibility.

D (Ensures the data collected and cleansed will address the original purpose) YOUR ANSWER

Ensuring the data meets its original purpose is a goal of the data cleansing process, but it is not specifically an outcome of the reporting step. The reporting phase is more focused on communicating progress and results to stakeholders rather than directly ensuring that the data serves its intended function.

Conclusion

The reporting step in data cleansing is vital for building trust among stakeholders by providing clear insights into the cleansing process and its outcomes. While tracking changes and documenting the evolution of the data set are important, they serve as supporting elements rather than primary objectives. Ultimately, effective reporting enhances stakeholder confidence, ensuring that the data used in decision-making is reliable and credible.

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