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

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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