Snowplow

📣 Huge news! We’re thrilled to be named as a Leader in the Analytics & Data Capture category of Snowflake's 2025 Modern Marketing Data Stack report! 🎉 Snowflake's latest report analyzes 9,800 customers and unveils 10 crucial tech categories shaping marketing data stacks in an era defined by AI, data gravity, and privacy. Snowplow has been recognized in this year's report thanks to our ability to help brands collect and analyze customer behavioral data in near real-time, providing rich insights and a scalable data foundation for AI-driven marketing use cases on Snowflake's AI Data Cloud. Click the link in the comments to download the full report. ⬇️ #SnowflakeMMDS #MarTech #AIMarketing #DataAnalytics #CustomerInsights

Fragmented customer data is crippling the travel industry's ability to deliver personalized experiences. But Snowplow is revolutionizing how companies like Secret Escapes understand and serve their customers. And we're amazed by their results. Want to know how they achieved a 15% jump in customer insights? Swipe below to find out 👇 Full story here: https://lnkd.in/dxpnUfac #DataAnalytics #CustomerExperience #TravelTech #DigitalTransformation #CustomerData

Join John Piekos, SVP of Engineering at Snowplow, for an in-depth exploration of real-time data processing and its transformative potential for modern applications. Learn how Snowplow’s low-latency pipeline powers real-time analytics, hyper-personalized recommendations, and AI-driven use cases by streaming behavioral data in seconds. Key Takeaways: Real-Time Defined: Understand how real-time differs by use case, from microseconds for trading to seconds for Snowplow applications. Real-Time in Action: Discover how Snowplow enables real-time analytics and decision-making with customizable loaders and streaming services. Driving AI with Real-Time Data: Explore how Snowplow’s real-time event streaming fuels next-generation AI applications like Agentic systems and hyper-personalization. #realtime #data #eventstreaming #dataanalytics

🎶 'Tis the season for leveling up your data quality game!' 🎄 Unwrap our 2024 Data Quality Roundup, packed with brand new features like Source Applications, Git-backed workflows, and templated data products. Want to see what's under the tree? 🎁 Check out our latest blog: https://lnkd.in/eWMifkTV #DataQuality #DataEngineering #Analytics #DataGovernance #DigitalTransformation

𝗣𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝘃𝗲 𝗮𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 is transforming how businesses drive growth, with the global market expected to surge from $5.29B to $41.52B by 2028. But here’s the challenge: implementing predictive ML modeling often requires extensive groundwork, from data preparation to building models. Snowplow's Composable CDP Data Product Accelerator simplifies the process, providing: - 𝙋𝙧𝙚-𝙗𝙪𝙞𝙡𝙩 𝙘𝙤𝙙𝙚 𝙖𝙣𝙙 𝙨𝙖𝙢𝙥𝙡𝙚 𝙙𝙖𝙩𝙖 - 𝘼 𝙘𝙡𝙚𝙖𝙧 𝙛𝙧𝙖𝙢𝙚𝙬𝙤𝙧𝙠 𝙩𝙤 𝙗𝙪𝙞𝙡𝙙 𝙖 𝙪𝙣𝙞𝙛𝙞𝙚𝙙 𝙘𝙪𝙨𝙩𝙤𝙢𝙚𝙧 𝙫𝙞𝙚𝙬 - 𝙏𝙤𝙤𝙡𝙨 𝙩𝙤 𝙥𝙧𝙚𝙙𝙞𝙘𝙩 𝙘𝙤𝙣𝙫𝙚𝙧𝙨𝙞𝙤𝙣 𝙡𝙞𝙠𝙚𝙡𝙞𝙝𝙤𝙤𝙙 𝙖𝙣𝙙 𝙤𝙥𝙩𝙞𝙢𝙞𝙯𝙚 𝙖𝙙 𝙘𝙖𝙢𝙥𝙖𝙞𝙜𝙣𝙨 Built with Snowflake’s 𝗦𝗻𝗼𝘄𝗽𝗮𝗿𝗸 or Databricks’ MLFlow, this accelerator makes it easy to activate granular behavioral data and deliver actionable insights through tools like Reverse ETL. 𝗞𝗲𝘆 𝗯𝗲𝗻𝗲𝗳𝗶𝘁𝘀 𝗶𝗻𝗰𝗹𝘂𝗱𝗲: - 𝙈𝙤𝙧𝙚 𝙖𝙘𝙘𝙪𝙧𝙖𝙩𝙚 𝙘𝙤𝙣𝙫𝙚𝙧𝙨𝙞𝙤𝙣 𝙥𝙧𝙚𝙙𝙞𝙘𝙩𝙞𝙤𝙣𝙨 - 𝙎𝙢𝙖𝙧𝙩𝙚𝙧 𝙖𝙪𝙙𝙞𝙚𝙣𝙘𝙚 𝙖𝙘𝙩𝙞𝙫𝙖𝙩𝙞𝙤𝙣 - 𝙄𝙢𝙥𝙧𝙤𝙫𝙚𝙙 𝙘𝙖𝙢𝙥𝙖𝙞𝙜𝙣 𝙥𝙚𝙧𝙛𝙤𝙧𝙢𝙖𝙣𝙘𝙚 𝙢𝙚𝙩𝙧𝙞𝙘𝙨 Ready to get started? 🔗 Try the Accelerator https://lnkd.in/efV2nsfF

CALLING ALL DEVELOPERS!: You no longer have to worry about catching data quality issues after they've landed in your warehouse 🚀 Learn more about our latest Snowtype enhancements, how they help you to instantly catch data quality issues during development, and how to get started: https://lnkd.in/eNYi4N29

Data teams can now manage their entire data tracking workflow directly in Git, with automatic syncing to the Snowplow Console 🚀 Learn more about the release of Git-backed management of Snowplow data products and how it brings version control, code reviews, and collaborative workflows to your data product development: https://lnkd.in/eRQbF7k5 #DataOps #DataEngineering #GitWorkflow #DataGovernance

🔄 Data Flywheels: From Concept to Reality. Wondering what a data flywheel looks like in practice? Swipe through to see how Klarna transformed its customer service using AI and proprietary data, creating a self-improving system that gets smarter with every interaction. 👇 Learn more: https://lnkd.in/eUN4sCpx

🔧 Is technical debt slowing down your data strategy? For many organisations, growing data pipelines mean growing complexity—and the costs that come with it. But by focusing on a few key principles, you can future-proof your systems and see real results: ✅ Validate at Source: Clean data at collection reduces downstream fixes by up to 80%, freeing teams to focus on analysis, not repair. ✅ Schema-Driven Development: Evolve pipelines seamlessly without breakage, cutting rework by 50% and enabling faster rollouts of new features. ✅ Centralised Governance: Eliminate duplication and inconsistency, reducing time spent aligning teams on data by 40%. ✅ Real-Time, Reusable Pipelines: Switch from batch to modular pipelines and improve processing speeds by 3x, while reducing maintenance costs. ✅ Proactive Monitoring: Built-in observability cuts issue resolution times by 60%, keeping your pipelines running smoothly. With these strategies, organisations can reduce costs, improve data reliability, and empower their teams to act faster. The result? Scalable, high-quality pipelines that unlock innovation instead of holding it back. Snowplow is talking about exactly this with Altamedia Please join us: December 18, 2024, 11 AM EST https://lnkd.in/eqDciZtS

🔄 The ripple effect of better data: It's not just about metrics, it's about transforming how teams work together. When luxury travel leader Secret Escapes implemented Snowplow, the company's entire approach to data tracking shifted from reactive to proactive. Learn how Secret Escapes is using Snowplow to transform its team's effectiveness in our latest case study: https://lnkd.in/eYFiN3W5 #DataStrategy #DigitalTransformation #Analytics