Overview of Risk, Marketing, Collections analytics etc.

Why take this course?
🚀 Course Headline:
Unlock the Secrets of Risk, Marketing, Collections, Operations & Fraud Analytics! 📊✨
What is this course about?
This comprehensive online course offers a deep dive into the world of applied analytics across different business verticals. We'll explore the intricacies of Risk, Marketing, Collections, Operations, and Fraud Analytics, equipping you with the knowledge of their objectives, tools, and techniques, along with success stories that highlight their real-world application.
Course Overview: 🧐
- Basics of Risk, Marketing, Collections, Operations & Fraud Analytics. Get to know the objective, tools, and techniques used in these verticals.
- Birds Eye View of Analytics Verticals. Understand the primary goals of each analytics area and their interlinkages.
- Common Industry Terms. Familiarize yourself with essential terms such as Loan types, billing cycle, due date, delinquency, and more.
- Marketing Analytics Overview. Learn about the objective of marketing analytics and the main levers that drive customer acquisition and retention.
- MA 01 Increase / Maintain Base. Discover strategies to maintain and increase your customer base, understanding which metrics matter, and applying effective techniques.
- MA 02 Increase Revenue per customer (cross-sell). Explore how to boost revenue per customer through cross-selling and what metrics and techniques to apply.
- MA 03 Marketing Campaigns and their effectiveness. Learn the essentials of campaign management and how to measure their impact effectively.
- Risk Analytics Overview. Understand the primary goal of risk analytics and the levers available to you.
- RA 01 Application Approval & Application Fraud prevention. Gain insights into the application approval process and how to prevent application fraud.
- RA 02 Authorization & Transaction Fraud prevention. Learn about preventing bad card usage and transaction fraud.
- RA 03 Credit Limit Management. Explore CLI and CLD strategies to manage credit limits effectively.
- Collections Analytics Overview. Understand the best practices for collections strategy across different stages of customer accounts.
- CA 01 Best Practices of Collections Strategy. Learn two different approaches for effective collection strategies.
- CA 02 Collections Operations. Discover how to efficiently contact agents and understand their training needs.
- Customer Services / Operations Analytics & Internal Fraud Detection. Learn how analytics can be applied to improve customer service and detect internal fraud.
Real-World Success Stories: 🏆
Dive into a collection of case studies from various industries that showcase the transformative power of analytics. From Healthcare to Telecom, Automotive to Entertainment, Retail, Sports, Cement Supply Business, Online Business, and even Google Apps, these stories will provide a clear view of how analytics can meet customer demands efficiently.
Terminology for Target Audience: 📖
- Analytics Case Study
- Analytics Case Studies
- Case Study on Analytics
- Case Studies on Analytics
- Analytics success stories
- Using Analytics for customer success
- Application of Analytics
Course Contents: 🎬📑
- HD videos and PDF files that guide you through each concept.
Course Duration: ⏱️
Designed to be concise yet comprehensive, this course should take just 4 hours to complete.
What's in it for the Reader? 🎁
- Gain valuable insights into the wide applicability of analytics across various industries.
- Learn from a collection of popular analytics success stories.
- Understand the win-win situation where customer satisfaction is maximized, and businesses thrive.
Why Take this Course? 🚀
This course is your opportunity to understand how analytics can be leveraged for strategic decision-making, risk mitigation, marketing innovation, and operational efficiency. By completing this course, you'll be well-equipped to apply these concepts in real-world scenarios, driving success for both your customers and your business. Join us on this analytical journey!
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