September updates: Seamless data blending and AI insights
TL;DR: Our September focus was all about making data analysis more seamless: you can now blend data from multiple sources with AI-powered inference, get AI analysis results with a single click, and push your insights straight to Google Sheets for easy stakeholder sharing. Coming soon: fully customizable reports with AI-powered data exploration to reduce back-and-forth with stakeholders.
Throughout September we focused a lot on improvements behind the scenes. These updates will help us deliver new features even faster than we have in the past and make for a more agile data analysis experience. Below is a breakdown of our new features, a revisit of some recent fan-favorites, and a sneak-peak of what’s to come in the near future.
🔌 Multi-data source support
You can now connect to all your data sources and analyze blended data directly in a Smartbook. What’s even cooler? The AI auto-infers your data sources so you don’t have to think about it (but you can override it as well, if you’d like).
🦾 Improved AI experience
Last month we introduced the AI code preview so that you can view the results before you accept to code proposed from the AI. This has now been made generally available, and along with it we’ve improved the workflow around adding code to your Smartbook: Accepting the code automatically runs it, reducing the workflow from prompt to viewing the output to a single click.
🤝 Share your analysis in Google Sheets
We believe in meeting your stakeholders where they are in order to maximize the impact of your analysis. With Fabi.ai’s Google Sheets integration, you can push a DataFrame to Google Sheets in the click of a button.
Scheduled DataFrames to push to Google Sheets
📊 Up next: More powerful reports
We’re hard at work enriching reports so you can deliver a powerful experience to your stakeholders. In the near future, you’ll be able to:
- Configure and customize the layout of your report however you like
- Configure the formatting of tables for everything from adding currency symbols to conditional formatting
- Enable AI-powered exploration in reports for your stakeholders to reduce the amount of back-and-forth on different slices of the data
Things you might find interesting ✨
- We attended the first-ever Small Data SF conference, which gave us a glimpse into the future of data analytics as we shift from expensive Big Data solutions to local, affordable and easy-to-use Small Data solutions.
- DuckDB is a fundamental building block of the Fabi.ai platform and powers a number of powerful features in our platform to help you with ad hoc analysis and EDA workflows. We discuss how we integrated it into our tooling here.
- In this brief tutorial video, we show you how to build a cool Sankey diagram for financial charting in 3 minutes flat.
