Analytics for Retail Banks
Access Duration - 365 Days
Awarded By Edureka
Guided Learning Hours (20)
Course Material
Number of Modules 10
Self-study Online
4.5( 2 REVIEWS )
163 STUDENTS
Awarded by
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)
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 | |||
Sammy May
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.
Bennie Murphy
As a new learner to online learning, I’m completely satisfied with the way this course was presented. It was well-structured and organised.