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Answer: Effective data governance ensures data is reliable and consistent, enhancing analytics results.
Effective data governance ensures that data used for analytics is reliable and consistent, which enhances the accuracy and usefulness of analytics results. Poor data governance, on the other hand, can lead to misleading analytics. For example, in a financial analysis scenario, if data governance is poor and data is inconsistent or outdated, the financial forecasts and insights derived from the analytics could be inaccurate, leading to poor business decisions.
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Discuss the impact of data governance on data analytics. Explain how effective data governance can enhance the reliability and usefulness of data analytics results and provide a scenario where poor data governance could lead to misleading analytics.
A
Effective data governance ensures data is reliable and consistent, enhancing analytics results.
B
Data governance has no impact on the quality of data analytics.
C
Data analytics is only about technical processing and not influenced by governance.
D
Data governance is only relevant for data storage, not analytics.
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