A concept in data science that refers to the process of using data to create a self-reinforcing system that continuously improves performance and generates more data.

• Customer experience
• Sales and marketing
• Operations optimization
• Predictive maintenance
• Product development

For instance, a company might use its customer data to improve its marketing efforts, which in turn generates more customer data. This data can then be used to further optimize the marketing efforts, creating a flywheel effect that continuously improves performance.

• The role of data architecture in your data strategy