The framework that includes customer, financial, internal process, and learning and growth perspectives is known as what?

Study for the ISACA AI Fundamentals Test. Prepare with flashcards and multiple-choice questions, each with hints and explanations. Get ready for your exam!

Multiple Choice

The framework that includes customer, financial, internal process, and learning and growth perspectives is known as what?

Explanation:
The Balanced Scorecard is a framework that measures performance across four perspectives—customer, financial, internal processes, and learning and growth—to give a balanced view of how well an organization is executing its strategy. Instead of looking only at financial results, it ties strategic goals to specific metrics in each area, so actions across the organization align with long-term objectives. This approach helps reveal how non-financial drivers, like customer satisfaction or process improvements, contribute to financial outcomes, and it provides a clear way to translate strategy into everyday work through targeted objectives and initiatives. Other options don’t fit this concept: data governance is about managing data quality and policy, not a multi-perspective performance framework; cyberattacks on AI and unpredictability in AI relate to risk and security issues rather than a comprehensive performance measurement model.

The Balanced Scorecard is a framework that measures performance across four perspectives—customer, financial, internal processes, and learning and growth—to give a balanced view of how well an organization is executing its strategy. Instead of looking only at financial results, it ties strategic goals to specific metrics in each area, so actions across the organization align with long-term objectives. This approach helps reveal how non-financial drivers, like customer satisfaction or process improvements, contribute to financial outcomes, and it provides a clear way to translate strategy into everyday work through targeted objectives and initiatives.

Other options don’t fit this concept: data governance is about managing data quality and policy, not a multi-perspective performance framework; cyberattacks on AI and unpredictability in AI relate to risk and security issues rather than a comprehensive performance measurement model.

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