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OVERVIEW

Even in a digital world, it's still about relationships

Whether you're focused on consumer or commercial banking, wealth management or capital markets, or all of the above, it’s all about relationships. You’ve got to find, secure, and deepen relationships while lowering risk and assuring compliance. Make your customers feel like you know them. Connect with them in the channel they are most comfortable with: mobile, online, phone, or branch agent.

Building trust and confidence increases the share of wallet and lifetime value. To achieve that on a global scale, you need to leverage big data and predictive analytics  using a proven modern hybrid data architecture platform from Cloudera.

Key Use Cases
  • Increase customer retention and profitability
  • Improve regulatory compliance
  • Reduce fraud and risk exposure
  • Modernize enterprise analytics

Increase customer retention and profitability

You already collect and store massive amounts of data that you can use to transform the customer experience.  And you are most likely utilizing machine learning and  predictive analytics to increase revenue and share of wallet, but you know you're just scratching the surface. A next-generation  hybrid data management platform from Cloudera can transform your Customer 360 vision into reality—in less time and cost—by leveraging all of your data as it is, where it is.

Improve regulatory compliance

GDPR, CCAR, BCBS239, FATCA, KYC, OATS, Dodd-Frank, Sarbanes-Oxley, CASL. These are just a few of an evolving set of regulations within financial services demanding compliance. A modern hybrid data architecture from Cloudera lets you maintain comprehensive audit trails—at scale—while making all your data available for analysis.

Reduce fraud and risk exposure

New technologies that  leverage big data, machine learning, and predictive analytics, enable improved risk modeling and fraud detection. A hybrid cloud data management platform lets you implement them faster and more seamlessly for better data-driven decisions.

Implementing fraud and financial crime solutions  using a hybrid data architecture, lets you deliver faster, more flexible solutions to achieve necessary protections and avoid significant losses. It also provides the information and enables the data science tools you need to reduce risk through risk modeling.

Extend your analytics toolkit with Cloudera and Simudyne Computational Simulation solution

Modernize enterprise analytics

Digital delivery creates terabytes of customer data—both data in motion and data at rest. The challenge is to isolate truly relevant data across multiple silos to drive more agile business intelligence.

When enabled by a modern hybrid data architecture platform, data lakes and big data fabrics are a better solution. Faster information about customer behaviors, interactions, and preferences can unlock new revenue and risk modeling opportunities and improve business decision making by isolating and processing only the most relevant information.

Cloudera Data Warehouse

TD Bank delivers an exceptional customer experience and convenience across channels with deeper visibility into each customer’s journey.

Read the case study

Santander UK

Santander UK: Unlocking the power of data for comprehensive customer insights and millions in savings

Read the case study

Bank Danamon

Cloudera powers Bank Danamon to improve customer journeys and enhance fraud detection

Read the case study

Novantas

Novantas uses Cloudera Enterprise to help its retail banking customers gain a full view to their customers

Read the case study

Webinar

See why over 520 financial services organizations rely on Cloudera for their big data needs

News

Cloudera enables digital transformation for global financial services institutions

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