Module 4 Data Quality and Master Data Management

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Southern New Hampshire University *

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570

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Accounting

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Feb 20, 2024

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docx

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AICPA Data Analytics Modeling (87%) Module 4: Data Quality and Master Data Management When dealing with data issues, a problem that leads to analysis of the wrong record could stem from Inconsistent formatting. Misspellings. Inconsistent data population. SSOT (single source of truth). Big data. Invalid or inappropriate data finding its way into a system could result from No investment in updates. Software version change. Lack of investment in quality tools. Poor future planning. Manual entry. A system for managing the single source of truth is also called Master data management. Data lake. Database. Data profile. Customer. A mastered entity table in an MDM application aims to resolve Records. Keys. Duplication. Profiles. Standards. When building an MDM solution in Talend Open Studio, the first step is to create a Dashboard. Database. Workflow. Data model. Report. What task should be performed between the data source and data staging layers? Data audit. Schema correction. Data correction. Data profiling. Reporting.
What task should be performed between the data warehouse and data analytics layers? Data audit. Schema correction. Data correction. Data profiling. Reporting. Identifying the condition of the data is part of what task? Performing a data audit. Performing ETL. Performing data analysis. Establishing root cause. Conducting a data assessment.
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