60 mins
China 
India 
Japan 
Philippines 
Singapore 
South Africa 
Sri Lanka 
Thailand 
Colombia 
Ecuador 
Austria 
Denmark 
Finland 
France 
Germany 
Hungary 
Norway 
Poland 
Portugal 
Romania 
Spain 
Sweden 
Switzerland 
United Kingdom 
UAE 
Canada 
Mexico 
United States 
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Financial performance enhancement through data-driven Insights
As data becomes a privilege instead of a commodity, C-suit executives and operation teams look for methods to leverage it and make insightful decisions for improving their operational efficiencies, finances, and overall performance.
This white paper takes an example of credit card products and one of the key metrics, ‘Cost-to-income Ratio’, that measures operational efficiency. We discuss the levers available to banks and financial institutions like advanced data analytics, machine learning (ML), and decision sciences to gain insights about customer behavior and business operations and take proactive decisions to positively influence their performance metrics.
We will also cover the role of predictive analytics for institutions to stay competitive by leveraging near real-time information from their internal data sources and external sources, such as social media, market trends, news feeds, etc.
This white paper delves into:
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Insights of ‘Cost-to-income Ratio
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Customer Data Platform (CDP)
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Nagarro's POV through a reference implementation
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Recommendations for improving the cost-to-income ratio
Related services
Related industries
Authors
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Vipul Chopra
Data Scientist
