Real-Time vs Historical Analytics: How Snowplow Powers Instant Decisioning

What does real-time really mean in modern data pipelines—and why does it matter?In this snippet from our LinkedIn Live, Snowplow's SVP of Engineering John Piekos breaks down the key differences between historical analytics and real-time applications. Learn how Snowplow delivers event data in seconds and enables real-time decisioning—from live user analytics to hyper-personalized customer experiences.Whether you're a data engineer, marketer, or product owner, this is a must-watch if you're building real-time apps or frustrated by lagging dashboards.Topics covered:- What defines “real-time” in event data pipelines- Real-time analytics vs. real-time decisioning- Why lag (even 24 hours!) breaks your customer experience- How Snowplow supports sub-second data delivery for in-the-moment personalization👉 Subscribe for more insights on real-time data, customer analytics, and event-driven architecture. Explore how to make smarter, faster decisions using first-party behavioral data.Curious to hear more? Watch John's full session here: https://snowplow.io/events/real-time-data-when-does-speed-matter-most#Snowplow #RealTimeAnalytics #DataEngineering #CustomerData #EventStreaming #DataPipeline #LinkedInLive