Predictive analytics for the banking and financial industry
In an industry that operates on numbers, it only makes sense to insert data science and advanced analytics into the equation. Make use of the massive amount of information available and turn it into real-time, actionable insight that will help improve day-to-day decision making in the banking sector. With predictive analytics, shape business strategy with accurate forecasts, stay on top of potential fraud and risk issues with real-time alerts, and transform the customer journey through on-demand customer intelligence and insights.
Banking and financial analytics use cases
FINANCE AND OPERATIONS
CUSTOMER SERVICE & SUPPORT
SALES AND MARKETING
Banking and financial solutions at a glance
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How banks are slowly incorporating analytics
Adoption of third-party analytics is growing rapidly and is expected to quadruple in 2020.
73% of organizations lack a 360-degree view of their customer and are unable to provide a consistent experience accross products and channels.
92% of banking professionals agree that the use of data analytics is critical to maintaning margins over the next five years.
Only 41% of banks use predictive analytics and visualizations to get actionable insights from data.