Analytics for Retail Banks Course

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Analytics for Retail Banks Course

Become a data-driven marketing expert by mastering concepts around analytics lifecycle, data infrastructure, customer lifecycle and digital trends while going through global retail banking case studies.

$188.00

Online self paced classes

Online Self Learning Courses are designed for self-directed training, allowing participants to begin at their convenience with structured training and review exercises to reinforce learning. You’ll learn through videos, PPTs and complete assignments, projects and other activities designed to enhance learning outcomes, all at times that are most convenient to you.

Analytics scope at a retail bank

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

Marketing challenges across the retail banking customer lifecycle

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

Data related Infrastructure at a retail bank

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

Channel implications on data driven marketing at retail banks

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

Data-driven customer acquisition at retail banks

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

Data driven usage management at retail banks

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

Data driven customer experience management at retail banks

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

Data driven upselling and Cross selling at retail banks

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

Data driven retention and loyalty management at retail banks

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

Practical Implementation challenges for the data-driven market

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

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 CertAdda support team will promptly assist you.

How soon after Signing up would I get access to the Learning Content?

As soon as you enrol into the course, your LMS (The Learning Management System) access will be functional. You will immediately get access to our course content in the form of a complete set of Videos, PPTs, PDFs and Assignments. You can start learning right away.

Is the course material accessible to the students even after the course training is over?

Yes! Soon after enrolling you have lifetime access to the course materials.

Do you provide placement assistance?

CertAdda is the largest online education company and lots of recruitment firms contacts us for our students profiles from time to time. Since there is a big demand for this skill, we help our certified students get connected to prospective employers. We also help our customers prepare their resumes, work on real life projects and provide assistance for interview preparation. Having said that, please understand that we don’t guarantee any placements however if you go through the course diligently and complete the project you will have a very good hands on experience to work on a Live project.

Are there Pre-requisites for learning this course?

The pre-requisite for this course includes a basic understanding of marketing processes, familiarity with the banking domain and high school mathematics

What are the payment options?

You can pay by Credit Card, Debit Card or NetBanking from all the leading banks. We use a RazorPay Payment Gateway.

What if I have more queries?

Just give us a CALL at +91 8178510474 / +91 9967920486 OR email at admin@certadda.com