Applied Analytics (business application - non mathematical)
Applied Analytics (business application - non mathematical)
What is this course about?
Part 1 of this course is all about applied analytics (by business analytics verticals)
- Course Overview : Basics of Risk, Marketing, Collections, Operations & Fraud Analytics. Know the objective, tools & techniques used.
- Birds Eye View of Analytics Verticals, their goals and inter linkage - Which are the analytics vertical. What are their primary goals.
- Common Industry Terms - Understand terms like Loan types, billing cycle, due date, delinquency etc.
- Marketing Analytics Overview - Objective and levers - what is the objective of marketing analytics. What are there main levers.
- 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.
- MA 02 Increase Revenue per customer (cross sell ) - Marketing Analytics 02 A - How to increase revenue per customer through xsell
- MA 03 Marketing Campaigns and it's effectiveness measurement - Marketing Analytics 02 B -what is campaign? How do you measure campaign effectiveness
- Risk Analytics Overview - Objective and levers - What is primary goal of risk analytics?
- RA 01 Application Approval n Application Fraud prevention - Understand about 1. application approval process and 2. application fraud prevention
- RA 02 Authorization & Transaction Fraud prevention - Prevent bad usage of the card and prevent transaction fraud
- RA 03 Credit Limit Management - CLI (Credit Limit Increase) and CLD (Credit Limit Decrease)
- Collections Analytics Overview -
- CA 01 Best Practices of Collections Strategy for Early / Middle Late stage accounts-Understand two different school of thoughts for collection
- CA 02 Collections Operations - how to contact & understand training needs of agents
- 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
- Case Study from Health Care Industry
- Case Study from Telecom Industry
- Case Study from Automobile Industry
- Case Study from Transport Industry
- Case Study from Electroni Case Study Industry
- Case Study from Entertainment Industry
- Case Study from Retail Chain Industry
- Case Study from Sport Industry
- Case Study from Cement Supply Business
- Case Study from On Line Business
- Case Study from Google Apps
- Case Study from Contact Center
Terminology To be used by Target Audience to find this course
- Analytics Case Study
- Analytics Case Studies
- Case Study on Analytics
- Case Studies on Analytics
- Analytics success stories
- Using Analytics for customer success
- Analytics applications
- 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.
Basics of Risk, Marketing, Collections, Operations & Fraud Analytics. Know the objective, techniques & Success stories
Url: View Details
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)
Rating: 3.9
Level: Beginner Level
Duration: 3.5 hours
Instructor: Gopal Prasad Malakar
Courses By: 0-9 A B C D E F G H I J K L M N O P Q R S T U V W X Y Z
About US
The display of third-party trademarks and trade names on this site does not necessarily indicate any affiliation or endorsement of hugecourses.com.
View Sitemap