B2C marketers identify reasons that cause their data projects to stop progressing towards marketing goals:
- “Those building the models don’t understand our marketing goals”
- “Data scientists don’t ask the right questions about our customers’ behavior”
- “Wrong or partial data is used to build models”
- “Overwhelmed data scientists don’t have time to meet our requests”
- “It takes too long to build the models”
- “Data isn’t updated quickly enough to be valuable”
- “Models get built but never updated”