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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.
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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.
The online course delivered by Edureka on big data, Hadoop - developer is really nice. The first thing of Edureka is that, the very first day of your registration, you have access the full tutorial ( record of some previous batch) and which will provide enough knowledge/teaching, so whenever you are attending your actual training session, you are not a fresher of the session, but a kind, expert and you can clear any knowledge gap.More of that, as you are getting 2 lectures for the same session, your knowledge is much more, than you would have expected. As these recording will be available you for ever, you always go again and again and again.The help/administration/support is really really good.For Hadoop big Data developer, I will recommend to join.Thanks
Very good courses covering lots of topics. Excellent class delivery and lecture notes. I really learnt a lot and will surely miss not having the classes any more. I will definitely keep in touch with edureka! and my instructor through LinkedIn and emails. I would also like to convey my special thanks to the edureka! support team for their prompt technical support that is available 24/7 and for their awesome Learning Management System (LMS) on the website with all the class recordings and the material.
Very good learning experience. Training staff are really experienced. 24X7 Support is excellent,get response instantly. You can learn new advanced technologies from home with real-time scenarios. Easy for IT professionals to shift technologies. Great Edureka!!!
It is a very good experience to learn from edureka!.Faculty seems excellent in sharing real world experiences.I do not feel even for single moment that i am learning from any tutor,it is like face to face gathering with an experienced person sharing it's curriculum knowledge.
Thanks a lot for your Android course. Right from the point of the start of the demo class, until the end of the complete course, the ride has been truly joyous and full of learning . I had no insight into Android development but with the help of your excellent instructor, I now stand a chance to explore wider into this. The webinars were truly awesome. Live Online sessions were highly interactive. The edureka! methodology for Online classes has changed the way I look at webinars now. Plus point is the knowledgeable course material. I am falling short of words describing the great experience of my Android training at edureka!. Thanks Team edureka!
I have attended Edureka's Spring and Design Patterns course. Very engaging and I liked the course structure very much. One good part is , before the course begins you have access to previous courses sessions which helps in understanding whether this course is covering all the topics for you. If not , your required topics can also covered during the actual live sessions. This is one unique company which has really evolved and matured as a solid technical education provider. Great job !!! And I look forward to taking more courses from you!