Customer Insights and Consumer Analytics for Organizations: Concepts

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Free Online Course: Customer Insights and Consumer Analytics for Organizations: Concepts provided by LinkedIn Learning is a comprehensive online course, which lasts for 1-2 hours worth of material. The course is taught in English and is free of charge. Upon completion of the course, you can receive an e-certificate from LinkedIn Learning. Customer Insights and Consumer Analytics for Organizations: Concepts is taught by Chris DallaVilla.

Overview
  • Turn your customers into lifelong fans. Learn how to operationalize customer insights and consumer analytics to better understand and address your target audience's needs.

    Due to the web and social media, customers have more control than ever. In today's business landscape, companies in both business-to-business and business-to-consumer verticals are adjusting to a new reality in which user information abounds. This means realigning the customer interest as the center point in making important decisions—which, in turn, requires a new set of skills. In this course, learn how to use customer insights and consumer analytics to better understand and address your target audience's needs. Instructor Chris DallaVilla helps executives and members of organizational teams get up to speed on best practices for processes and procedures, driving target outcomes, establishing infrastructure, and defining policies for data privacy, security, and ethics.

Syllabus
  • Introduction

    • Climb inside your customer's mind
    • Customer insights and analytics
    1. Process Overview
    • Process
    • Strategy
    • Design
    • Implement
    • Measure
    • Governance
    2. Outcomes
    • Insights and understanding
    • Loyalty
    • Lower cost channels
    • Performance improvement
    3. Infrastructure
    • Cloud computing
    • Machine learning
    • Business intelligence
    • Natural language processing
    4. Skills
    • Executive level
    • Advocating for the consumer
    • Data science
    • Analytical reasoning
    5. Policies
    • Data privacy
    • Data security
    • Data ethics
    Conclusion
    • Next steps