Certified Supply Chain Professional (CSCP) Practice Exam

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What does data cleansing involve?

Creating backup copies of data
Going through a database to find and fix mistakes
Automating data entry processes
Deleting outdated records

The correct answer is: Going through a database to find and fix mistakes

Data cleansing involves going through a database to find and fix mistakes. This process is crucial in ensuring the accuracy and reliability of data used within supply chain management and other business operations. Mistakes in data can include inaccuracies, inconsistencies, duplicate entries, and missing information, which can lead to poor decision-making and inefficiencies in processes. By systematically reviewing and correcting these errors, organizations can improve the quality of their data. High-quality data supports effective analysis, improves communication among stakeholders, and enhances overall supply chain performance. Data cleansing thus plays a vital role in maintaining the integrity of databases and ensuring that any insights derived from the data are based on accurate information.