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Analytics in banking

In this post-crisis marketplace, transforming from the status quo is critical to the profitability of banks and financial institutions.

Banking customers today are more demanding and less loyal. Competition is intensifying as global banks fight for market share in emerging markets, and growth slows in mature markets. Increasing regulatory requirements are forcing banks to invest in risk management and regulatory reporting technology. With IBM Analytics, financial institutions can uncover critical insights to differentiate and drive profitability in this environment.

Featured offers for banking

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Create a customer-focused enterprise

Optimize enterprise risk management

Increase flexibility and streamline operations

Banco Bilbao Vizcaya Argentaria

Banco Bilbao Vizcaya Argentaria (BBVA) protected its reputation and goodwill by monitoring sentiment in online and social media forums.


Fiserv achieved an estimated increase of 100 percent or higher in the response rate to targeted marketing initiatives by applying predictive analytics to big data.

MoneyGram International

MoneyGram International prevented USD37 million in fraudulent transfers with an advanced analytics solution that integrates and analyzes data in real time.

Grupo Bancolombia

Grupo Bancolombia automated and improved the accuracy of money-laundering prediction with analytics, enabling staff to focus on generating new business instead.

NYSE Euronext

NYSE Euronext processes 2TB of data per day, and is able to identify key insights from the big data using near-real-time analytics supported by IBM PureData System for Analytics.

Pioneer West Virginia

Pioneer West Virginia Credit Union reduced its loan delinquency ratio by 95% in one year by gaining the insights to understand operations in a near-real-time environment.