
The data quality engine: solve the ``garbage-in / garbage-out problem``
- Cleansing and normalization
- Deduplication
- Enrichment
- Lead-to-account matching
- Golden record creation
- Junk removal


The computation engine: automate anything
- Aggregate data
- Summarize data
- Process complex math
- Score accounts and contacts
- Automate attribution
- Manage any custom logic
The onboarding engine: add new data anytime
- Self-service
- Inline data quality
- Inline data governance
- Partner data, open data, and third-party data
- Custom front end for the onboarding process


The data governance engine: protect your data all the time
- Data profiling
- Data lifecycle management
- Privacy controls
- Automated detection & remediation
- GDPR, CCPA, PIPEDA
The user interaction engine: two-way access for non-technical users
- Two-way interaction (“do,” not just “view”)
- Self-service
- Custom apps
- Custom APIs
- Use case-specific interactions

How to build a CDP on top of an Enterprise Data Warehouse

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