Fivetran

Tinuiti is scaling smarter marketing with real-time insights — powered by Fivetran and Amazon S3. With Fivetran, Tinuiti is: 🔷 Onboarding clients 120x faster (from weeks to under an hour) 🔷 Enabling self-service for 80% of data connectors 🔷 Powering a global, AI-ready data lake with reduced compute costs Discover how they’re transforming performance marketing: https://5tran.co/4joMNgk

Building an AI-ready data foundation isn't just about moving data. It's about making it usable across the business. In this #DataAISummit session, George Correa from Superhuman and Kelly Kohlleffel from Fivetran share how Superhuman standardized data ingestion, accelerated AI-ready workflows, and contributed to a 10% lift in customer lifetime value with Fivetran and Databricks. Watch the full session at the link in the comments 👇

More than 40% of agentic AI projects are expected to be canceled by the end of 2027. Not because models aren’t powerful enough, but because data foundations are not ready. Fivetran and dbt Labs just published a primer for data leaders on building AI agents on a foundation that actually holds up — fresh, centralized, governed data. Learn about: 🎯 Where AI works best ⚠️ The 3 failure modes that sink agentic AI ✅ A 7-step checklist for AI readiness Download the guide: https://5tran.co/4gyieGR

Regulations change. Your entire data architecture shouldn’t have to. As global privacy requirements become more fragmented, data control and portability give organizations greater flexibility to adapt without redesigning their stack market by market. South Korea’s new breach penalties are the latest example of how quickly that regulatory landscape can shift. Fivetran's Data Protection Officer, Seth Batey, spoke with Informa TechTarget about what the changes mean for global compliance and why organizations are increasingly thinking about flexibility in their data architecture. https://5tran.co/3V7O18Z

If data lakes seem costly or complex, it’s time for a second look. In a new GigaOm report, Fivetran’s Managed Data Lake Service reduced integration costs by up to 95% — proving modern data lakes can be efficient, scalable, and AI-ready. 💡 See how the numbers stack up: https://5tran.co/3S3naG5

The hardest part of data architecture isn't choosing the right platform. It's preserving the freedom to change later. This post explores how Open Data Infrastructure helps organizations avoid lock-in, keep data portable, and stay flexible as analytics, AI, and business requirements evolve. Learn more: https://5tran.co/3SiSLqJ

Same data. Same question. Different AI agents, different interfaces, different answers. We tested five different interfaces into the same dbt project. It turns out that the Semantic Layer eliminates wrong answers at the lowest cost. Here’s how we learned that better-governed data access can matter as much as the model itself. Read our benchmark. https://5tran.co/4iGVTbb

AI is creating more demand for data, more workloads, and more complexity. Your infrastructure shouldn’t add to it. Open Data Infrastructure helps teams access data on their terms, control costs, reduce duplicate pipelines, preserve flexibility, and give AI agents trusted business context. Explore the practical ways ODI can make life easier for data teams, then see how your stack measures up: https://5tran.co/4dzLGK9

Interloop uses Fivetran and Microsoft Fabric OneLake to scale data access across over 100 customer environments — and cut analytics project time by 50%. 📊 Key results: 🔷 50% reduction in analytics project timelines 🔷 75% faster time to onboard new data sources 🔷 Streamline data movement across 100+ customer tenants Read the full story https://5tran.co/41S7CuN

Hours-long dbt runs shouldn't be the default. In his latest post, Garegin Ordyan, SVP of Data & Analytics, shares how a frustrating PR review sparked an idea that eventually became dbt Wizard — helping teams avoid rebuilding models that haven't actually changed. Read Garegin's story: https://5tran.co/3VnoOY4