Question 1 of 30
A retail company is analyzing customer purchase data to improve its marketing strategies. They have identified that the data collected from various sources, including online transactions and in-store purchases, has inconsistencies in customer names, addresses, and purchase histories. To enhance data quality management, the company decides to implement a data cleansing process. Which of the following steps is most critical in ensuring that the data cleansing process effectively improves the overall quality of the data?
Establishing a set of data quality metrics to evaluate the effectiveness of the cleansing process
Randomly removing duplicate entries from the dataset
Ignoring outliers in the data to focus on the majority of entries
Consolidating all data sources without validating their accuracy

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