What is June AI?
June AI is a powerful product analytics tool developed specifically for B2B SaaS businesses. It allows users to access, analyze, and derive insights from their product data using SQL English, a preferred language for data analysts. Powered by GPT-4, June AI provides a new approach to answering complex product questions and making data-driven decisions.
This tool gained recognition swiftly in the industry, proven by its accolades, such as the Golden Kitty winner title in the Data & Analytics category in the Product Hunt Award 2022 and becoming the fastest growing application on Twilio Segment. Businesses across various fields trust June AI largely due to its simplicity and usefulness in enhancing their data analytics process.
June AI not only provides deep analysis of data but also encourages collaboration among teams. Users can save their queries, allowing their entire team to access useful insights. Moreover, it seamlessly integrates with various other tools and platforms, making it an excellent choice for businesses seeking to streamline their product analytics process.
How to Use June AI: Step-by-Step Guide to Accessing the Tool
Accessing June AI is a straightforward process. The primary step involves connecting a data source. June AI supports a wide range of data sources, giving users flexibility in their choice of platform. After successful data source integration, users can start sending their data and view the associated metrics.
Users can then proceed to enter their preferred language, SQL English, and begin posing their complex product questions. The platform allows users to easily save any query deemed useful, which ensures that time-consuming query searches become a thing of the past.
June AI provides a host of resources to aid users in operation, including detailed documentation and a dedicated June School. The latter is instrumental in enabling users to get the best out of this powerful product analytics tool.
June AI Use Cases
June AI finds application in various scenarios, predominantly revolving around the analysis and interpretation of product data. An excellent example is the unofficial role it plays in replacing data analysts when users need quick answers to ad-hoc questions. Instead of waiting for the data analyst to provide an answer, users can simply pose their question in SQL English and get the answers they need in no time.
Aside from answering product-related questions, June AI can also analyze metrics for different business operations. For instance, it can keep track of event-to-graph transformations, and signal the users of peak activity times or all-time high performances, valuable insights to prompt immediate business actions.
June AI is a great ally for product managers. It enables them to monitor new feature releases and understand their impact on user behavior. The tool can further help identify any issues in user identification that could potentially disrupt metrics, showing its worth in maintaining the accuracy of product analytics.
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