Which metrics are important for assessing the effectiveness of analytics initiatives in PSE Cortex?

The effectiveness of analytics initiatives in PSE Cortex hinges on quantifiable and relevant metrics that directly reflect the outcomes of these initiatives. The choice emphasizing return on investment, user adoption, and data quality is pivotal because:

• Return on investment (ROI) measures the financial benefits derived from analytics initiatives relative to their costs. It helps determine whether the resources invested in analytics are yielding favorable outcomes and justifies future investments.

• User adoption indicates how well the analytics tools and insights are being integrated into everyday decision-making processes. High user adoption rates suggest that the tools are user-friendly and provide value to the employees, enhancing their operational effectiveness.

• Data quality is crucial for ensuring that the analytics produced are reliable and actionable. High-quality data leads to more accurate insights and supports better decision-making, while poor data quality can undermine trust in analytics outcomes.

Together, these metrics provide a comprehensive picture of how effectively analytics initiatives are adding value to the organization. In contrast, the other choices focus on indirect elements that may not specifically measure the success of analytics initiatives. For instance, employee turnover rates, market share, and brand awareness might show broader business trends but do not directly correlate with the effectiveness or impact of analytics efforts. Production costs and manufacturing timelines, while important for operational efficiency,