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The success or failure of business decisions is based largely on the quantity & quality of information at your disposal. Some industries have access to more information than others; one particularly good example is the banking sector. Like healthcare, the banking industry is subject to a wide array of stringent regulations that govern their day-to-day operations; remaining compliant within this environment requires banking institutions to memorialize nearly all of aspects of their operations. For example, conversations need to be recorded, transactions need to be saved, and customer transcripts need to be maintained. This is in addition to the normal, unregulated aspects of data production, such as marketing campaigns, social media content, and website management. In short, the banking sector produces reams of raw data on a daily basis, most of which is scarcely analyzed or even reviewed.
Dataiku's Data Science Studio (DSS) is a powerful platform that enables companies to take advantage of this raw data by transforming it into highly useful analytical forecasts. Like diamonds amidst coal, this raw data frequently includes critically useful information that is left undiscovered because its extraction is often too costly and burdensome. Dataiku's DSS facilitates this data exploration via a 3-step process:
Dataiku's DSS enables your financial institution to combine structured & unstructured data to benefit your financial margins and improve customer satisfaction by optimizing cross-selling, up-selling, and retention offers at the perfect point-in-time. A growing number of world-renowned banks are now using DSS to build their own predictive banking analytics solutions, with applications in a variety of fields:
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