Which of the following are techniques used to resolve problems in data acquisition?

Fixing data in the source system is a fundamental technique for resolving problems in data acquisition. Ensuring that the data collected is accurate and of high quality at its origin minimizes the chances of propagating errors during acquisition, transformation, and loading processes. By addressing issues directly at the source, organizations can prevent faulty data from entering their systems and impact subsequent analysis or business decisions.

This approach emphasizes the importance of data integrity right from the collection stage, which can involve correcting inaccuracies, reformatting data where necessary, or even augmenting the data with additional relevant information. It also recognizes that the foundation of effective data management lies in ensuring the quality of data before it is utilized for further analysis.

Other techniques may involve advanced technology to enhance data collection, but they cannot solely resolve problems if the underlying data is flawed. Simply changing formats or eliminating the need for data collection does not address the core issues of data quality and reliability. For optimal data acquisition, it is crucial to start by ensuring that the data is accurate and trustworthy right from the source.