B. Implement data entry controls for new and existing applications.
Data entry controls ensure that the data entered into the system is accurate, complete, and valid. This is crucial because the quality of the output from business intelligence systems is heavily dependent on the quality of the input data.
B is important, but it is not the most effective way to reduce the risk of ‘inaccurate data proliferation’ across the entire data integration and analysis environment of the BI system.
A (metadata management) is the correct answer because it plays the most critical role in maintaining the reliability and consistency of data in the BI environment.
By implementing clear rules for data conversion, organizations can minimize the risk of inaccuracies or discrepancies in the data used for business intelligence analysis.
A metadata repository centralizes the management of metadata, which provides essential information about the meaning, structure, and usage of data within the business intelligence system. By establishing a metadata repository, organizations can maintain consistency, accuracy, and transparency in data definitions, sources, and transformations. This helps ensure that users have access to reliable and relevant information, reducing the risk of inaccurate or misleading data being propagated through the business intelligence system.
Right answer is A
The last answer emphasizes that metadata addresses the risk of inaccurate data through contextual understanding, data lineage tracking, quality indicators, standardized definitions, auditing, monitoring, documentation of transformations, and data profiling. In summary, metadata plays a crucial role in providing the necessary information and controls to ensure the accuracy and reliability of data in an organization's information systems.
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