Overview of Risk, Marketing, Collections analytics etc.
Overview of Risk, Marketing, Collections analytics etc., available at $19.99, has an average rating of 3.95, with 36 lectures, based on 168 reviews, and has 4683 subscribers.
You will learn about Learn about wide applicability of analytics across various industries Learn that analytics results in win-win scenario (good for customer and firm) This course is ideal for individuals who are Those who wishes to know about analytics usage or Those who wishes to learn about sucess stories of analytics application It is particularly useful for Those who wishes to know about analytics usage or Those who wishes to learn about sucess stories of analytics application.
Enroll now: Overview of Risk, Marketing, Collections analytics etc.
Summary
Title: Overview of Risk, Marketing, Collections analytics etc.
Price: $19.99
Average Rating: 3.95
Number of Lectures: 36
Number of Published Lectures: 36
Number of Curriculum Items: 36
Number of Published Curriculum Objects: 36
Original Price: $19.99
Quality Status: approved
Status: Live
What You Will Learn
- Learn about wide applicability of analytics across various industries
- Learn that analytics results in win-win scenario (good for customer and firm)
Who Should Attend
- Those who wishes to know about analytics usage
- Those who wishes to learn about sucess stories of analytics application
Target Audiences
- Those who wishes to know about analytics usage
- Those who wishes to learn about sucess stories of analytics application
What is this course about?
Part 1 of this course is all about applied analytics (by business analytics verticals)
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Course Overview : Basics of Risk, Marketing, Collections, Operations & Fraud Analytics. Know the objective, tools & techniques used.
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Birds Eye View of Analytics Verticals, their goals and inter linkage – Which are the analytics vertical. What are their primary goals.
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Common Industry Terms – Understand terms like Loan types, billing cycle, due date, delinquency etc.
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Marketing Analytics Overview – Objective and levers – what is the objective of marketing analytics. What are there main levers.
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MA 01 Increase / Maintain Base (more new customer, stop customer churn / attrition) : Marketing Analytics 01 – How can you maintain & increase customer base. What metrics you should look. What are the applicable techniques.
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MA 02 Increase Revenue per customer (cross sell ) – Marketing Analytics 02 A – How to increase revenue per customer through xsell
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MA 03 Marketing Campaigns and it’s effectiveness measurement – Marketing Analytics 02 B -what is campaign? How do you measure campaign effectiveness
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Risk Analytics Overview – Objective and levers – What is primary goal of risk analytics?
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RA 01 Application Approval n Application Fraud prevention – Understand about 1. application approval process and 2. application fraud prevention
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RA 02 Authorization & Transaction Fraud prevention – Prevent bad usage of the card and prevent transaction fraud
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RA 03 Credit Limit Management – CLI (Credit Limit Increase) and CLD (Credit Limit Decrease)
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Collections Analytics Overview –
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CA 01 Best Practices of Collections Strategy for Early / Middle Late stage accounts-Understand two different school of thoughts for collection
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CA 02 Collections Operations – how to contact & understand training needs of agents
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Customer Services (find what customer wants) or Operations Analytics (detect internal fraud)
Part 2 of this course is a collection of case study on analytics from various industries. It will help users to know about how analytics has helped to meet customer demand with efficiency. It has
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Case Study from Health Care Industry
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Case Study from Telecom Industry
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Case Study from Automobile Industry
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Case Study from Transport Industry
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Case Study from Electroni Case Study Industry
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Case Study from Entertainment Industry
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Case Study from Retail Chain Industry
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Case Study from Sport Industry
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Case Study from Cement Supply Business
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Case Study from On Line Business
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Case Study from Google Apps
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Case Study from Contact Center
Terminology To be used by Target Audience to find this course
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Analytics Case Study
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Analytics Case Studies
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Case Study on Analytics
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Case Studies on Analytics
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Analytics success stories
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Using Analytics for customer success
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Analytics applications
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Application of Analytics
Course Contents
Course contains HD videos and PDF file.
Course Duration
Ideally it should take just 4 hours to complete it.
What is in it for the reader
Reader will get to know, how analytics has resulted into many success stories. It has created a win-win situation where customer is happy and firm is gaining.
Why Take this course?
This ensures that you get to know wide applicability of analytics across various industries. It is a collections of many popular analytics success stories.
Course Curriculum
Chapter 1: Part 1 – Applied Analytics Basics of Risk, Marketing, Collections analytics
Lecture 1: Overview of Part 1 – applied analytics vertical wise
Lecture 2: Birds Eye View of Analytics Verticals, their goals and inter linkage
Lecture 3: Common Industry Terms – Understad terms like Loan types, billing cycle, due date
Lecture 4: Marketing Analytics Overview – Objective and levers
Lecture 5: Marketing Analytics Objective 1 – Increase / Maintain (reduce attrition) base
Lecture 6: Marketing Analytics Objective 2 – Increase Revenue per customer (cross sell )
Lecture 7: Marketing Analytics – campaign and it's effectiveness measurement
Lecture 8: Campaign Analytics Advanced stuff – Uplift Moeling
Lecture 9: Risk Analytics Overview – Objective and levers
Lecture 10: RA obj 1: 1. aplication approval process and 2. application fraud prevention
Lecture 11: RA Obj 2: Authorization & Transaction Fraud prevention
Lecture 12: RA Obj 3: Credit Limit Management – CLI (Credit Limit Increase) & CLD (decrease
Lecture 13: Collections Analytics Overview
Lecture 14: CA 1: Best Practices of Collections Strategy for Early / Middle Late stage
Lecture 15: CA 2: Collections Operations – how to contact & training needs of agents
Lecture 16: Customer Services and Operations Analytics (detect internal fraud)
Lecture 17: Example of analytics applications for business
Chapter 2: Part 2 – Case Studies from Various Industries
Lecture 1: Section Overview
Lecture 2: Welcome Note
Lecture 3: Sucess story from Healthcare Industry : win-win for the customer and firm
Lecture 4: Telecom Industry – reduce churn, grow business using analytics
Lecture 5: Automobile Industry – spectacular success of Ford Figo
Lecture 6: Transport business – amazing usage of analytics for the purpose
Lecture 7: Electronics Industry – best buy concept of store within store
Lecture 8: Entertainment Industry – Casino, NetFlix and Apple ITune
Lecture 9: Retail Chain – Analytics usage by Walmart and Tesco
Lecture 10: Usage of Analytics in Sports – Moneyball
Lecture 11: Using Analytics for efficient cement supply
Lecture 12: Use of analytics by online merchants
Lecture 13: Use of Analytics by Google – google search and google map
Lecture 14: Analytics in contact center – improve pronunciation and collection
Chapter 3: Closing Note and E-Book
Lecture 1: Analytics Techniques at a glance – where to apply what?
Lecture 2: Bonus Topic – Analytics / Data Science / Machine Learning Interview questions
Lecture 3: Closing Note
Lecture 4: E-Book (PDF of the presentation – part 1)
Lecture 5: E-Book (PDF of the presentation – part 2)
Instructors
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Gopal Prasad Malakar
Trains Industry Practices on data science / machine learning
Rating Distribution
- 1 stars: 13 votes
- 2 stars: 15 votes
- 3 stars: 31 votes
- 4 stars: 64 votes
- 5 stars: 45 votes
Frequently Asked Questions
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