Customer Insights and Consumer Analytics for Organizations: Concepts
1h 9mBeginner2019-09-06
Authors

Chris DallaVilla
Founder and CEO of VALID
Course details
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.
Learning objectives
Designing a consumer analytics program
Measuring a program's progress
Governing your consumer analytics program
Driving customer loyalty
Improving the efficiency of your investments
Using cloud computing platforms
Machine learning for consumer analytics
Data privacy, security, and ethics
Learning objectives
Designing a consumer analytics program
Measuring a program's progress
Governing your consumer analytics program
Driving customer loyalty
Improving the efficiency of your investments
Using cloud computing platforms
Machine learning for consumer analytics
Data privacy, security, and ethics
Skills covered
Business AnalyticsPersonaData Science
Concepts
0. Introduction
- 01 - Climb inside your customer's mind
- 02 - Customer insights and analytics
1. Process Overview
- 03 - Process
- 04 - Strategy
- 05 - Design
- 06 - Implement
- 07 - Measure
- 08 - Governance
2. Outcomes
- 09 - Insights and understanding
- 10 - Loyalty
- 11 - Lower cost channels
- 12 - Performance improvement
3. Infrastructure
- 13 - Cloud computing
- 14 - Machine learning
- 15 - Business intelligence
- 16 - Natural language processing
4. Skills
- 17 - Executive level
- 18 - Advocating for the consumer
- 19 - Data science
- 20 - Analytical reasoning
5. Policies
- 21 - Data privacy
- 22 - Data security
- 23 - Data ethics
Conclusion
- 24 - Next steps
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