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Product companies are sitting on a goldmine of analytics that clients want integrated into their ecosystems. But how can they securely and efficiently share this data without a mountain of effort? In Ariel Pohoryles latest blog, he breaks down 4 smart approaches to sharing analytical data stored in modern data warehouses like Snowflake and Google BigQuery. Learn the pros, cons, and best use cases for: ✅ Custom APIs – for tailored control ✅ Automated Data Pipelines – the fast-track solution ✅ Client-Controlled Environments – no-code, hands-on freedom ✅ Native Data Sharing – seamless platform-native sharing Discover which approach fits your clients’ needs and how tools like Rivery simplify data sharing with minimal effort and maximum flexibility. 🔗 Read the full guide: https://lnkd.in/ekDnrZxV

How Product Companies Can Share Analytical Data with Clients

How Product Companies Can Share Analytical Data with Clients

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