Business analysts face challenges demonstrating ROI due to inadequate reporting processes, leading to underappreciation of analytics investments. Many companies invest in advanced tools without proper tracking of their influence on decision-making. For example, hospitals using clinical decision support systems may enhance patient outcomes, but without structured reporting, the benefits remain unnoticed. Analysts feel that they need to communicate the impact of their roles better. Leveraging AI and automation offers opportunities for more effective data handling and improved reporting that can show clear business value.
Many companies fall into the trap of spending their budget on advanced analytics and visualization tools without focusing on reporting that can illustrate business impact.
Hospitals might use clinical decision support systems (CDSS) to improve the accuracy of diagnoses and patient outcomes, but without structured reporting, the impact remains invisible.
One in three analysts believe that reporting should be a central part of their role, but say it's currently undervalued.
AI and automation not only streamline data handling but also pave the way for more structured, consistent, and impactful reporting.
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