Unstructured Data Analytics
How to Improve Customer Acquisition, Customer Retention, and Fraud Detection and Prevention
Created by Jean Paul Isson
Explore how unstructured data analytics can drive better business decisions across customer acquisition, retention, and fraud prevention. Learn practical frameworks and see real-world examples that connect data methods to outcomes in HR, legal, healthcare, and more. Build the skills to plan and execute purposeful analytics initiatives.
Wiley | Sep 2026 | 432 min
What You Will Learn
You will start by understanding the role of unstructured data in the analytics landscape. Step by step, you will explore frameworks and use cases for applying analytics to customer, fraud, HR, legal, and healthcare decisions. Case studies, interviews, and technical examples will help you connect theory to practice and build confidence in applying these techniques.
Key Features
- Apply a practical framework to analyze unstructured data for business impact
- Connect analytics methods to real-world use cases in customer, fraud, and HR domains
- Understand future trends like AI, machine learning, and governance in unstructured data
Target Audience
This course is ideal for business analysts, data leaders, customer insight teams, fraud specialists, HR analytics professionals, product managers, and anyone responsible for using data to improve business decisions. If you have a basic understanding of analytics and want to expand your skills with unstructured data, you will gain actionable strategies and frameworks to move your initiatives forward.
