In what way does data analytics contribute to APM?

Data analytics plays a crucial role in Application Portfolio Management (APM) by enabling informed decision-making through performance insights. This process involves collecting, analyzing, and interpreting data related to application performance, usage, costs, and other key metrics. By leveraging data analytics, organizations can gain a clear understanding of how each application contributes to business objectives.

With these performance insights, decision-makers can prioritize application investments, identify underperforming applications, and implement strategies for optimization or retirement. This systematic approach ensures that resources are allocated efficiently and that applications align with overall business goals, leading to improved operational efficiency and cost-effectiveness.

In contrast to other options, data analytics provides clear and actionable insights rather than vague information, does not limit access to application data but rather enhances it by making the data more useful, and is intended to support human decision-making rather than replace it altogether. Utilizing data analytics within APM fosters a culture of data-driven decision-making, resulting in better outcomes for the organization.