What is the impact of data governance on business intelligence initiatives?

The correct answer highlights the vital role that data governance plays in ensuring the success of business intelligence initiatives. Data governance involves defining processes, roles, and responsibilities for managing data effectively, which directly contributes to the integrity and reliability of data.

When data governance is implemented, it establishes a clear framework for maintaining high-quality data. This ensures that the data used for analytics is accurate, consistent, and trustworthy. Reliable data allows organizations to make informed decisions based on analysis, leading to better strategic outcomes. Furthermore, strong data governance protocols enhance collaboration across departments, enabling them to trust and share data without fear of discrepancies or inaccuracies.

In contrast, the impact described in the other options does not encapsulate the primary focus of data governance in relation to business intelligence. Reducing data storage costs, while important, is more related to data management strategies rather than governance practices. The assertion that data governance eliminates the need for data quality assessments is inaccurate, as effective governance actually necessitates ongoing data quality checks to maintain the integrity of the data over time. Lastly, while data governance may contribute to improving processing speed through structured data practices, its primary influence is on ensuring that the data used is accurate and reliable for decision-making purposes.