Transformational Analytics in Banking

Discovery in Banking

What was once a niche competitive edge for forward-thinking banks, has now become a transformative catalyst for the entire industry. Here’s how AI in analytics changes the game:

Treat customers like people with granular marketing analytics

Anticipate customer needs, elevate digital experiences and drive product engagement by leveraging granular personalization insights.

Understand risk like never before

Map the evolving credit risk landscape by discovering subtle signals across complex datasets.

Boost profit margins with operational excellence

Seamless internal processes guarantee superior customer experience: reduce backlogs, cut human error rates and reallocate employees to higher-value projects.

Let data-driven insights guide compliance and regulation

Read early-warning signals hidden deep in workflow activity to identify systemic issues, ensure timely remedial action and stay ahead of changes in compliance mandates.

The Game Changers: AI in Banking

AI analytics helps major banks stay connected to their customers – especially during the dramatic rise of online financial management use. As leading banks apply a range of strategies to navigate the new normal, AI analytics is opening greenfield opportunities to raise profits, combined with agility and ethical responsibility.

Nasdaq: AI’s Role in Digital Transformation for Financial Services

In a world economy overshadowed by the fallout from Covid-19, banks and the FSI industry as a whole are looking for ways to remain relevant, solvent, and at the forefront of clients’ minds. They must do this whilst not being seen as the ‘bad guys’ of the world economy. So far they have managed well. As we look to the future, and the possible shocks yet to come, what role has AI got to play in this mission and the broader digital transformation needed to ensure these organisations stay stable and continue their growth?

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Applications for SparkBeyond Discovery in Banking

Risk scoring

Personalize credit decisions while minimizing risk and exposure.

Fraud

Analyze anomalies and subtle signals in large amounts of data to identify criminal activity.

Customer retention

Accurately identify customers at the highest risk of lapse for effective, personalized retention campaigns.

Cross-sell and upsell

Use granular customer insights to accurately predict the most effective product or service.

The Game Changers: AI in Banking

AI analytics helps major banks stay connected to their customers – especially during the dramatic rise of online financial management use. As leading banks apply a range of strategies to navigate the new normal, AI analytics is opening greenfield opportunities to raise profits, combined with agility and ethical responsibility.

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Generative AI for data analytics: the future of enterprise sense-making

In the case of enterprise data analytics, generative AI will radically change the way we interrogate our data to explore, react to and shape our business realities.

Generative AI for data analytics: the future of enterprise sense-making

New data models for a new world

Nearly all existing models have been invalidated by the coronavirus pandemic. They will presumably be invalidated again as the situation evolves as the world recovers. Even after recovery, it is unlikely that we will return to where we started before the crisis began. So how does that affect our data models?

The Game Changers: AI in Banking

AI analytics helps major banks stay connected to their customers – especially during the dramatic rise of online financial management use. As leading banks apply a range of strategies to navigate the new normal, AI analytics is opening greenfield opportunities to raise profits, combined with agility and ethical responsibility.