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Analytics For Retail Banks

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Analytics For Retail Banks

Data Science & Business Analytics

Duration
45 Hours

Course Description


          An "Analytics for Retail Banks" course typically covers how to leverage data to improve various aspects of retail banking, including customer experience, marketing, risk management, and operational efficiency. It focuses on using data analysis, predictive modeling, and other techniques to gain insights from data and make data-driven decisions. 

Course Outline For Analytics for Retail Banks

Organizational Impact

  • Increased sales performance and customer acquisition.
  • Enhanced product penetration and cross-selling opportunities.
  • Improved customer satisfaction and loyalty.
  • Streamlined sales processes and better use of sales technologies.

Personal Impact

  • Improved sales and customer engagement skills.
  • Enhanced product knowledge and confidence in selling.
  • Greater proficiency in using sales tools and technologies.
  • Advanced skills in performance measurement and self-improvement.

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Course Level: Foundation

Course Objectives

  • Develop effective sales techniques tailored for retail banking.
  • Enhance product knowledge and cross-selling skills.
  • Improve customer engagement and satisfaction.
  • Utilize sales tools and technologies to streamline processes.
  • Implement performance measurement and continuous improvement strategies.

 

Course Outline

Module 1: Sales Techniques and Best Practices

  • Understanding the retail banking sales process
  • Building rapport and trust with customers
  • Effective communication and presentation skills
  • Techniques for identifying customer needs

Module 2: Product Knowledge and Cross-Selling

  • Overview of retail banking products and services
  • Matching products to customer needs
  • Cross-selling and up-selling strategies
  • Handling objections and closing sales

Module 3: Customer Engagement Strategies

  • Developing customer-centric sales approaches
  • Enhancing customer experience and satisfaction
  • Building long-term customer relationships
  • Techniques for customer retention and loyalty

Module 4: Sales Tools and Technologies

  • Introduction to CRM systems and sales tools
  • Using technology to track and manage sales activities
  • Leveraging data analytics for sales insights
  • Implementing digital sales strategies

Module 5: Performance Measurement and Improvement

  • Key performance indicators (KPIs) for sales teams
  • Monitoring and evaluating sales performance
  • Identifying areas for improvement and implementing changes
  • Best practices for continuous improvement and success stories
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