- Analytics data stack
- Analytics objectives
- Analytics lifecycle
- Analytics algorithms stack
- Analytics process cycles
- Data visualisation
- Analytics best practices
- Context-awareness
- CRISP-DM methodologies
Online
₹ 11,999
Quick facts
particular | details | |
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Medium of instructions
English
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Mode of learning
Self study, Virtual Classroom
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Mode of Delivery
Video and Text Based
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Course overview
The Analytics for Retail Banks online course by Edureka is a self-directed programme built to make you a fluent, data-driven marketing expert. The curriculum covers essential topics like data infrastructure, analytics lifestyle, customer lifecycle, and digital trends, familiarizing you with the core areas. It also utilises global retail banking case studies for industry-relevant knowledge.
Apart from a comprehensive syllabus, the Analytics for Retail Banks training also entails PPTs, PDFs, online videos, practical assignments, and project work. Through such extensive study material and structured exercises, it aims to make you fluent in banking analytics. Moreover, all of these are offered through the course LMS (learning management system), which comes with unlimited access.
Furthermore, Edureka also provides their Analytics for Retail Banks certification if the course experts approve your projects. This accreditation is industry-recognized and will considerably boost your portfolio for seeking lucrative job roles. You can also engage in the community discussion forum to interact with peers and gain additional knowledge about this domain.
Also Read:
Post Graduate Certificate in Retail Banking (PGCRB)
The highlights
- Community discussion forum
- Peer interactions
- Lifetime course access
- Practical assignments
- Real-life case studies
- Programme LMS
- Trained instructors
- Valuable certification
- No-cost EMI on the programme fee
- Self-paced training
Program offerings
- Unlimited course access
- Online lms
- Real-world case studies
- Assignments
- Community forum
- Experienced trainers
- Projects
- Certification
- Self-directed studying
- Ppts
- Pdfs
Course and certificate fees
Fees information
- The Analytics for Retail Banks online course is available at Rs. 11,999.
- You can also opt for no-cost EMIs to pay for the Analytics for Retail Banks programme fee. The EMIs start at Rs. 4,000/month
Analytics for Retail Banks course fee structure
Training Name | Payable Fees |
Analytics for Retail Banks | Rs. 11,999 |
certificate availability
certificate providing authority
Eligibility criteria
Eligibility Criteria
You must be familiar with high school mathematics and the banking domain to join Edureka’s Analytics for Retail Banks online course. A basic understanding of the various marketing processes is also required.
Certificate Qualifying Details
Once you submit your project work, it must be approved by Edureka’s experts to grant you the Analytics for Retail Banks certificate.
What you will learn
These are the concepts where you’ll be proficient after completing the Analytics for Retail Banks course syllabus: -
- Marketing challenges in the retail banking customer lifecycle
- Analytics scope in retail banks
- A retail bank’s data-related infrastructure, data-driven customer acquisition, data-driven usage management, data-driven customer experience, data-driven cross-selling, and upselling
- Data-driven marketing’s channel implications at retail banks
- Loyalty management and data-driven retention at retail banks
- Data-driven market’s practical implementation challenges
Admission details
- Visit the Analytics for Retail Banks course webpage by Edureka.
- Select the ‘Enrol Now button.
- Provide the on-screen info and press on ‘Start Learning’.
- Provide the course fees and click on ‘Pay Securely’.
- Once your fee payment is processed, you’ll be enrolled.
Filling the form
You can join the Analytics for Retail Banks certification programme by simply signing up/ logging in with your email and phone number. No form-filling is necessary.
The syllabus
Analytics Scope at Retail Bank
Marketing Challenges Across the Retail Banking Customer Lifecycle
- Retail banking objectives
- Analytics applications across customer lifecycles
- Customer lifecycles
- Levers
- Trade-offs and analytics objectives
- Partner agencies
- Segment marketing
- ROI models
Data-Related Infrastructure at Retail Bank
- Big data’s challenges
- Different types of data
- Logical data models
- Data life cycle
- Data cleansing
- A single view of the customer
- Unstructured data processing
- Single row per customer
- Requisite processes
- Platform components required for data processing
Channel Implications on Data-Driven Marketing at Retail Banks
- Channel purposes
- Channel types
- Channel infrastructure
- Channel throughput
- Omni-channel perspective
- Campaign execution challenges
- Use of social media channels
Data-Driven Customer Acquisition at Retail Banks
- Prospecting
- Analytics capabilities for prospect analytics
- Onboarding
- Response models
- Digital activation worst and best practices
- Activation strategies
Data-Driven Usage Management at Retail Banks
- Analytics capabilities required
- Offer glut
- Sample usage increase programs
- Offer tracking and fulfillment
Data-Driven Customer Experience Management at Retail Banks
- Customer experience processes
- Customer journey and analytics
- Analytics capabilities required for customer experiences
- Customer trust principles
- Analytics for end customers
- Analytics capabilities for customer satisfaction
- Personal financial management
- Design thinking
- Technology shifts
- Digital customer experience actuators and sensors
- Testing options
Data-Driven Upselling and Cross-Selling at Retail Banks
- Cross-selling and upselling processes
- “Incoming call is your best bet”
- Tactics for increasing customer penetration
- Next best offer analytics
- Case study - card upgrade program
- Case study - cross-selling mutual funds to customers with savings accounts
- Case study - cross-selling credit cards to saving accounts
- Bancassurance approaches
- Cross-sell between individual and corporate accounts
Data-Driven Retention and Loyalty Management at Retail Banks
- Factors affecting
- Loyalty and retention processes
- Customer loyalty
- Retention strategies and attention types
- Analytics capabilities for loyalty analytics
- Social media marketing
- Advocacy analytics
- Case study - attrition model
Practical Implementation Challenges for the Data-Driven Market
- IT principles for digital banking
- McKinsey core beliefs for big data
- Architecture blocks for digital banking
- Data privacy
- Data preparation groundwork
- “Know your business”
- Common improvement areas for banks
- “Analytics is more art than science”
How it helps
There are various Analytics for Retail Banks certification benefits, including a self-paced curriculum, vast learning materials, hands-on guidance, and unlimited programme access. The extensive syllabus ensures that you become fluent in retail bank analytics and accelerate towards a successful career. To this end, Edureka also provides a valuable certificate, empowering you to seek job roles in companies like VMWare, Cisco, DELL, etc.
FAQs
Absolutely, the Analytics for Retail Banks training provides unlimited access. You can revisit any of the lessons anytime.
You can pay the course fee via net banking, credit card, debit card, or PayPal. EMI options are available too.
Since the Analytics for Retail Banks programme is self-paced and has lifetime access, you can take as much time as you’d like to finish it.
Yes. The only prerequisites are having a basic knowledge of marketing processes, high school mathematics, and the banking domain.