Optimizing performance and risk calculations: The critical role of data quality
Calculating performance indicators or risk metrics is a critical task for financial institutions. While many focus solely on calculation methods, the real challenge often lies elsewhere. Data quality is the number one factor that impacts the accuracy of results, and poor data quality leads to false conclusions and reduced operational efficiency. While robust calculation methods are vital, the foundation of accurate, scalable and auditable data is essential.
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