Healthcare organisations operate in an increasingly complex environment marked by rising costs, evolving patient expectations, regulatory pressures, and rapid technological change. In this context, analytics has emerged as a critical tool for supporting decision-making and strategic planning by transforming raw data into actionable insights. The integration of analytics enables healthcare managers to move from intuition-based decisions to evidence-based strategies, thereby improving efficiency, quality of care, and organisational sustainability. At the operational level, descriptive analytics plays a fundamental role by summarising historical data to understand patterns and trends. Hospitals routinely use descriptive analytics to track patient admissions, bed occupancy rates, average length of stay, and resource utilization. For instance, by analysing seasonal variations in patient inflow, a hospital can anticipate peak periods such as flu seasons and allocate staff and resources accordingly. This not only enhances patient care but also minimizes bottlenecks and overcrowding. Similarly, dashboards that provide real-time insights into emergency department wait times enable administrators to take immediate corrective actions, such as reallocating staff or opening additional treatment areas. Diagnostic analytics further supports decision-making by identifying the root causes of issues. For example, if a hospital experiences a high rate of patient readmissions, diagnostic tools can analyse patient records, treatment protocols, and discharge processes to determine underlying factors such as inadequate follow-up care or medication non-adherence. By identifying these causes, healthcare organisations can implement targeted interventions, such as improved discharge planning or patient education programs, thereby reducing readmissions and associated costs.