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Astrato
Self-Service BI Revolutionised for the Cloud โ๏ธ๐
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Astratoโs LLM Comparison App brings AI and analytics together in a seamless, interactive experienceโpowered by Snowflake Cortex. ๐ฅ๐ก
Spotify Wrapped Meets Data Analytics: Build Your Taste Profile
Get inspired by our Spotify analytics app, built to celebrate the arrival of Spotify Wrapped!
This demo uses Snowflake Cortex AI to create personalized insights like your unique taste profile and even predict your age based on listening habits. Powered by Astrato Analytics, it highlights how HTML support transforms tables, KPI cards, and visuals, making analytics as striking as your favorite album covers.
โ ๏ธ Note: While the app supports a variety of playlists, some curated by Spotify may not work due to API limitations.
Experience the power of data storytelling for yourself! Explore the demo and see how Astrato brings creativity to analytics.
โฐDeliver Business-Critical Insightsย |ย Provide users with essential insights precisely when they need it ๐Generate, schedule, andย distribute reportsย and data exports seamlessly. โจLeverage AIย fromย Astrato Insights,ย simplify complex data into actionable summaries.
This People Analytics and Feedback demo dashboard is enhanced with essential capabilities, including writeback functionality and AI-powered sentiment analysis using Snowflake Cortex LLM & ML from Snowpark.
This visually compelling dashboard provides an insightful representation of the population distribution across the United States. Designed for ease of use, it offers a comprehensive view of population estimates and year-over-year population changes by state.
Define and store new regions on the map using this Astrato Data App. Interactive map allows users to zoom in and pan across different regions for a closer look.
Select a customer from the table and update their MRR (monthly recurring revenue) to model their risk of churn. No-code modeling, without using data scientists time. Seamlessly build action into analytics and integrate with other tools using the power of Snowflake and Snowpark.
Simple
Calculate your smash factor in this interactive data app
This “Snowpark for Python” powered data app runs budget allocations against a linear regression model to predict future ROI (Return On Investment) of variable advertising spend budgets across multiple channels including search, video, social media, and email using Snowpark for Python and scikit-learn.