Big data analytics provides the possibility of realizing internal and external risks that were never possible to attain before, thus making a financial institution make data-informed decisions. Financial institutions generate enormous amounts of data every day: customer transactions, market data, social media sentiment, and geopolitical developments. With big data, risk managers can better judge risks by integrating all such different data sources.
Real-time data analysis is the most critical aspect in today's fast-moving world. As a result of big data, any institution can track on a continuous basis what is happening in the marketplace, the general feeling or sentiment of the customers and other external factors at play, and hence quickly update portfolio strategy or alter credit policies if so required. In the credit risk arena, big data analytics provides more advanced customer profiles on all different dimensions of behavioural data as well as those related to social media and other activities, thereby allowing for more accurate risk scores.

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