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Analytics for Retail Banks

258+ Learners

StepLeaf’s Analytics for Retail Banking Course allows you to collect, manage and manipulate data of the business and the customer to optimize their impact in the economy. 

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Banking Analytics Courses

Jul 11 Sat,Sun (4.5 Weeks) Weekend Batch Filling Fast 03:30 PM  05:30 PM
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Course Price at

$ 236.00

About Course

StepLeaf’s Analytics for Retail Banks Course allows you to suggest proper data Analytics Strategies that would match the growth strategy. This course helps you to identify several critical trends and finds a way to integrate functional strategies.

Course Objective

This course is a benchmark for you to build a complex model in ease. It helps you to learn uncanny things and a good threshold to work with.

  • Understand the bank mission statement properly
  • Set proper goals for sales/ marketing
  • Establish Sales/marketing mechanics
  • Understand Core competencies
  • Balance Analytics and understand the voice of customer
  • Measure performance
  • Understand your customers and competition

Who should take up this Certification Course?

StepLeaf’s Analytics for Retail Bank Course is mainly preferred for the person who are interested in becoming a data - driven marketing expert. 

What are the prerequisites for this course?

Little knowledge in the basics of Data Science will explode your learning into a masterpiece.

Key Skills

datascience, marketingchallenges, roimodels, levers, trade-offs, analyticsscopeataretailbank, datarelatedinfrastructureataretailbank, channelimplications, datadrivenusagemanagement, customerexperiencemanagement, upselling, crossselling, loyaltymanagement

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Course Contents

Download Syllabus

Analytics for Retail Banks Content

Learning Objectives - In this module you will understand the scope of analytics applications at a retail bank and the underlying processes involved. You will also learn about the various activities around analytics. Develop a sound foundation of analytics frameworks. Learn about best practices in analytics and also understand latest trends around analytics. 

Topics - Analytics objectives, Analytics data stack, Analytics lifecycle, Analytics process cycles, Analytics algorithms stack, Data visualization, Context awareness, Analytics best practices, CRISP-DM methodology.

Learning Objectives - In this module you will understand different stages of the customer lifecycle, Marketing challenges across different stages of the customer lifecycle, Best practices in managing these challenges, How to use analytics to address these challenges and Undertake a case study of a Taiwanese bank.
Topics - Retail banking objectives, Customer lifecycle, Analytics applications across the customer lifecycle, Levers, Analytics objectives and trade-offs, Segment marketing, Partner agencies, ROI models

Learning Objectives - In this module you will understand the various types of data needed at a retail bank, Infrastructure required to manage data and learn about challenges and best practices in managing data.
Topics - Challenges of big data, Different types of data, Data life cycle Logical data models, Data cleansing, Unstructured data processing, Single view of the customer, Single row per customer, Platform components required to process data, Requisite processes.

Learning Objectives - In this module you will understand the various types of channels and their implications on data-driven marketing. Learn about customer touch-points and how they can be leveraged. Appreciate best practices around analytics and channel management.
Topics - Channel purposes, Types of channels, Channel throughput, Channel infrastructure, Campaign execution challenges, Omni-channel perspective, Use of social media channels.

Learning Objectives - In this module you will understand how to run data-driven acquisition programs, Best practices around analytics in the acquisition space, understand the differences between prospecting and onboarding and also learn about best practices around digital onboarding. Carry out a case study of an Indonesian bank.
Topics - Prospecting, Onboarding, Analytics capabilities for prospect analytics, Response models, Activation strategies, Digital activation best and worst practices.

Learning Objectives - In this module you will understand how to run data driven usage management programs, Explore best practices around analytics in the usage management space. Learn about challenges while implementing offers. Perform a case study of a Thai bank and Chinese bank.
Topics - Analytics capabilities required, Sample usage increase programs, Offer glut, Offer fulfillment and tracking.

Learning Objectives - In this module you will understand the customer journey and define customer experience. Learn about the benefits of having a good customer experience, How to run data-driven customer experience management programs, best practices around analytics in the customer experience management space and also understand best practices of customer experience in digital banking.
Topics - Customer journey and analytics, Customer experience processes, Customer trust principles, Analytics capabilities required for customer experience, Analytics capabilities required for customer satisfaction, Analytics for the end customer, Personal financial management, Technology shifts, Design thinking, Testing options, Digital customer experience sensors and actuators.

Learning Objectives - In this module you will understand how to run data driven upsell and cross sell programs. Learn about best practices of analytics in the upsell and cross sell space, tactics to increase customer penetration, approaches to Bancassurance perform a case study of an Indian bank and Chinese bank.
Topics - Upselling and cross selling processes, Tactics to increase customer penetration, "Incoming call is your best bet", Next best offer analytics, Case study: Card upgrade program, Case study: Cross selling credit cards to savings accounts, Case study: Cross Selling mutual funds to savings account customers, Cross sell between corporate and individual accounts, Bancassurance approaches.

Learning Objectives - Understand how to run data-driven retention and loyalty management programs, Approaches to building retention strategies, trends in social media marketing. Learn about best practices of analytics in the retention and loyalty management space. Undertake a case study of an Indian bank
Topics - Retention and loyalty processes, Factors affecting, Customer loyalty, Analytics capability for loyalty analytics, Attrition types and retention strategies, Case Study: Attrition model, Advocacy analytics, Social Media Marketing.

Learning Objectives - Understand practical challenges in implementing data driven programs. Learn about basic principles driving IT infrastructure of digital banking and also you will learn how to manage these challenges.
Topics - McKinsey core beliefs on big data, Data privacy, IT principles for digital banking, Architecture blocks for digital banking, "Know your business", Data preparation groundwork, "Analytics is more art than science", Common improvement areas at banks.

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How will I execute the Practicals?

Installation & configuration is part of the curriculum. The session will include a hands-on installation and configuration guide. Detailed installation guides are also provided in the LMS for setting up the environment. The software can be downloaded from the website mentioned here, where candidates need to create a login id and them can download software from there. edelivery.oracle.com In order to answer your queries, the 24*7 StepLeaf support team will promptly assist you.

StepLeaf’s Analyst in Banking Domain Certificate Holders work at 1000s of MNC Companies All Over the World


StepLeaf uses a blended learning technique which consists of auditory, visual, hands-on and much more technique at the same time. We assess both students and instructors to make sure that no one falls short of the course goal. 

Yes, we offer crash courses. You could get the overview of the whole course and can drive it within a short period of time.

Currently we don't offer demo class as the number of students who attend the live sessions are limited. You could see our recorded video of the class in each course description page to get the insight of the class and the quality of our instructors.

StepLeaf has a study repository where you can find the recorded video of each class and all other essential resources for the course.

Each student who joins StepLeaf will be allocated with a learning manager to whom you can contact anytime to clarify your queries

Yes we have a centralized study repository, where students can jump in and explore all the latest materials of latest technologies.

Assessment is a continuous process in StepLeaf where a student's goal is clearly defined and identifies the learning outcome. We conduct weekly mock tests, so that students can find their shortfalls and improve them before the final certification exam

You can pay your course fee online quickly through secure Razorpay gateway. You will be able to track the payment details on the way.