Used For

• +**Your CRM, ERP, and marketing tools all have different customer records** → One clean "golden record" that everyone trusts, no more arguing about which email is current
• +**Product data scattered across 15 Excel sheets from different teams** → Automated syndication to e-commerce channels without manual copy-paste hell
• +**AI chatbots getting confused by messy supplier data** → Clean, structured data that actually makes sense to machine learning models
• +Built-in data quality checks catch errors automatically - no more "McDonald's" vs "McDonalds" vs "Mc Donald's"
• +Connects to your existing tools without custom coding - uses pre-built connectors instead of hiring integration consultants

Best For

• >Your sales team keeps calling the same customer by three different names
• >Hit enterprise scale and duplicate records are causing actual revenue problems
• >IT is tired of explaining why the same supplier appears 12 times in reports

Not For

• -Companies under 1,000 employees — you're paying Rolls-Royce prices when a Honda would work fine
• -Teams wanting plug-and-play simplicity — this needs dedicated data stewards or you'll drown in configuration
• -Anyone on a tight budget — consumption-based pricing means costs scale with your data volume (and enterprises have lots of data)

Pairs With

• *Salesforce (where your clean customer records actually live and get used by sales reps)
• *SAP (to sync supplier master data without breaking your ERP workflows)
• *Snowflake (where the cleaned data gets stored for analytics teams to build dashboards)
• *Tableau (to create executive reports that don't have embarrassing duplicate customers)
• *HubSpot (for marketing campaigns that won't send three emails to the same person)
• *Power BI (where finance builds reports and complains about data quality less often)

The Catch

• !Budget at least $100K+ annually and expect the final bill to be higher once you add modules and integrations
• !You'll need someone to become a "data steward" full-time or this becomes expensive shelfware
• !Built for structured data — if your data is mostly unstructured files and documents, this isn't the right fit

Bottom Line

Costs enterprise money to solve enterprise data chaos — not for companies still using Google Sheets as their CRM.