You are a consultant on an SAP S/4HANA Cloud Greenfield project.
Which of the following aspects should you focus on to achieve and maintain clean core data quality? Note: There are 2 correct answers to this question.
I’m not entirely sure, but I think timeliness is also crucial for maintaining clean core data. It was mentioned in a practice question we did last week.
I remember we discussed the importance of accuracy in data quality during our study sessions. It seems like a strong candidate for one of the correct answers.
Stability and accuracy - that's my best guess. The system needs to be stable to ensure data quality, and the data itself needs to be accurate. But I'm not 100% certain on this one.
I'm a bit confused on this one. I know data quality is crucial, but I'm not sure which specific aspects are most important for this type of project. I'll have to review my notes and think it through step-by-step.
I've got this! Accuracy and efficiency are definitely the two correct answers here. Maintaining clean data requires both high-quality information and efficient processes to manage it.
Okay, let's see. I'm pretty sure accuracy and timeliness are important for maintaining clean core data quality. But I'm not sure about the other options - I'll have to weigh them carefully.
Hmm, this seems like a tricky one. I'll need to think carefully about the key aspects of data quality that are most relevant for an SAP S/4HANA Cloud Greenfield project.
I'm with Bettina on this one. Accuracy and timeliness are the way to go. Although, a little humor never hurts - how about 'keeping your data clean, like a whistle in a tornado'?
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