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Banking & Financial Services Redefined by AI

Banks and Financial Institutions are implementing advanced data transformation initiatives to enable Loan Automation, Customer Intelligence, and Recommendation Engines. BFSI as a combined vertical is a highly data-heavy industry. Analyzing and extracting insights from such data helps enhance decision-making and deliver better customer service.

Data Discovery is the first step to tapping the full potential of data. Are you ready to unlock actionable insights from your data for business growth? We have compiled a whitepaper—Data Discovery - The Means to the Right End—that sheds light on the three-pronged approach to proper data discovery.

Data Discovery

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Data-driven Insights for Better Business Outcomes

The BFSI sector today is using AI algorithms capable of learning and drawing inferences from big data. A robust data platform for Loan Automation, Customer Intelligence, and Banking Recommendations is the key to achieving meaningful and actionable insights for long-term success.

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Loan Automation

KANINI’s CognyLend.ai is a cognitive automation solution for an efficient loan origination process that:

  • Captures data from all kinds of documents - handwritten or digital 
  • Combines AI and RPA to validate documents and customer identity
  • Checks credit rating leveraging APIs
  • Categorizes applications that enable quicker decisions with a built-in loan classifier

Customer Intelligence Framework:

KANINI’s AI-powered Customer Intelligence framework can help banks and financial organizations achieve:

  • Efficient Customer Segmentation
  • Smart Product Recommendations
  • Faster Documentation and KYC Checks in Customer Onboarding
  • Accurate Aspect-based Sentiment Analysis
  • Intelligent Affinity Analysis
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Banking Recommendation Engine:

KANINI’s Banking Recommendation Engine framework can significantly improve customer experience, revenues, and engagement. It can help you:

  • Establish a long-term Provider-Customer Relationship
  • Make accurate revenue decisions
  • Get comprehensive customer summaries
  • Predict customer behavior
  • Use feedback to deliver a high-quality experience.

Build a Robust Data Platform

To achieve these results, you need a robust data platform built on a world-class data discovery process that involves gathering data from disparate systems and locations as the preliminary step to deriving meaningful and actionable insights.

We are conducting a free Personalized workshop where our experts will answer your questions related to your data initiatives and help you develop a three-pronged approach to data discovery for deploying a Single View of Patient, patient Intelligence framework, or a Recommendation Engine.