Analytics for Retail Banks

Access Duration - 365 Days
Awarded By  Edureka Awarded By Edureka
Guided Learning Hour 20 Guided Learning Hours (20)
Course Materialr Course Material
Self-study Online
4.5( 2 REVIEWS )
163 STUDENTS
£129.00
 

What Will I Learn?

Have a clear understanding of the scope of analytics application in a retail bank
Learn the different activities related to analytics
Develop a firm understanding of analytics framework
Understand best practices in analytics and the trends of analytics
Learn the underlying processes involved in retail bank

Overview

Master the concepts of analytics with Analytics for Retail Banks. The course is designed to teach you about the data infrastructure, analytics lifecycle, digital trends and customer lifecycle. It is a comprehensive course that provides a wealth of knowledge on marketing challenges in the customer lifecycle, data-related infrastructure and data driven customer acquisition. For individuals aspiring to work in top positions in retail banks will find this course highly beneficial to your career progression.

Analytics for Retail Banks will cover key topics that will get learners up to date with data driven usage management. Each module is explored fully to ensure the learner gains a complete understanding of the subject matter.

Analytics for Retail Banks will also focus on data driven upselling and cross selling in retail banks, data related infrastructure and data driven retention. Qualifying in this course will set you in the right direction, giving you the opportunity to open the door to new and exciting job roles.

 Why You Should Consider Taking this Course at Global Edulink?

Global Edulink is a leading online provider for several accrediting bodies, and provides learners the opportunity to take this exclusive course awarded by Edureka. At Global Edulink, we give our fullest attention to our learners’ needs and ensure they have the necessary information required to proceed with the Course.  Learners who register will be given excellent support, discounts for future purchases and be eligible for a TOTUM Discount card and Student ID card with amazing offers and access to retail stores, the library, cinemas, gym memberships and their favourite restaurants.

  • Access Duration
  • Who is this Course for?
  • Entry Requirement
  • Method of Assessment
  • Certification
  • Awarding Body
  • Career Path & Progression

The course will be directly delivered to you, and you have 12 months access to the online learning platform from the date you joined the course.  The course is self-paced and you can complete it in stages, revisiting the lessons at any time.

This course is recommended for individuals, who are data driven marketing experts,
  • Analytics Professionals
  • Data Analysts
  • Analytics Managers
  • Senior Managers at retail banks
  • Learners should be over the age of 16, and have a basic understanding of English, ICT and numeracy.
  • A sound educational background is recommended

In order to complete the Course Analytics for Retail Banks, learners will have to submit an assignment. The assignment will demonstrate your familiarity with the particular subject and will test your ability to apply it in a real-world scenario.

Upon the successful completion of the course, you will be awarded the Certificate in Analytics for Retail Banks by Edureka.

Edureka is a pioneer in online learning and an agency that has frequently and consistently collaborated with educational and academic institutes. It guarantees expert commitment and is dedicated to learners taking their courses. Edureka is internationally recognised and takes learners a step closer to a leading career in the IT industry.

Analytics for Retail Banks will improve your candidature for a number of jobs in data analytics.  You can study further courses in the same field and enhance your academic expertise in data driven marketing, and add this as a valuable skillset on your resume. Your skills will be recognised by leading organisations that give you the opportunity to land a well-paying job in the retail banks. Given below are job titles you can compete for, along with the average UK salary per annum according to https://www.glassdoor.com.

  • Senior Manager - £100,000 (Approximately)
  • Analytics Manager - £75,000 (Approximately)
  • Data Analyst - £55,000 (Approximately)

Key Features

Gain an Accredited UK Qualification
Access to Excellent Quality Study Materials
Personalised Learning Experience
Support by Phone, Live Chat, and Email
Eligible for TOTUM Discount Card
UK Register of Learning Providers Reg No : 10053842

Course Curriculum

1: Analytics scope at a retail bank
Analytics objectives
Analytics data stack
Analytics lifecycle
Analytics process cycles
Analytics algorithms stack
Data visualization
Context awareness
Analytics best practices
CRISP-DM methodology
2: Marketing challenges across the retail banking customer lifecycle
Retail banking objectives
Customer lifecycle
Analytics applications across the customer lifecycle
Levers
Analytics objectives and trade-offs
Segment marketing
Partner agencies
ROI models
3: Data related Infrastructure at a retail bank
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
4: Channel implications on data driven marketing at retail banks
 Channel purposes
Types of channels
Channel throughput
Channel infrastructure
Campaign execution challenges
Omni-channel perspective
Use of social media channels
5: Data-driven customer acquisition at retail banks
Prospecting
Onboarding
 Analytics capabilities for prospect analytics
Response models
Activation strategies
Digital activation best and worst practices
6: Data driven usage management at retail banks
 Analytics capabilities required
Sample usage increase programs
Offer glut
Offer fulfillment and tracking
7: Data driven customer experience management at retail banks
 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
8: Data driven upselling and Cross selling at retail banks
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
9: Data driven retention and loyalty management at retail banks
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
10: Practical Implementation challenges for the data-driven market
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

Students feedback

4.5

Average rating (2)
4.5
5 Star
4 Star
3 Star
2 Star
1 Star
    S M

    Sammy May

    January 08, 2021
    Fantastic training

    As someone who aspires to work in analytics, this course was fantastic in every way. The course focused on the concepts on the analytics lifecycle, customer lifecycle and data infrastructure.

    B M

    Bennie Murphy

    December 24, 2020
    Good standard

    As a new learner to online learning, I’m completely satisfied with the way this course was presented. It was well-structured and organised.

£129.00
WhatsApp chat