If you're looking for a tool that helps you analyze real-world data by bringing together insights from multiple teams, Tabula is a good choice. This AI-powered, no-code platform lets business and data teams combine, transform and visualize data, automating spreadsheets and workflows. It connects to widely used data tools and offers features like automated workflows, standardized data and custom metrics, so it's good for analytics, marketing, customer success, finance, operations and sales teams.
Another good choice is Athena, an AI-native analytics platform that speeds up analytics workflows by working in co-pilot and auto-pilot modes. It connects to Enterprise Data Warehouses with a chat-based interface for querying data, creating visualizations and analyzing enterprise data. With the ability to automate workflows through natural language processing and create custom reports, Athena helps businesses make data-driven decisions across the enterprise.
If you want a collaborative data workspace, check out Airbook. The platform connects to more than 150 data sources and you can query it with SQL, Python or no-code interfaces. It offers collaborative workspaces, visualization and version control, so it's good for marketing analytics, sales analytics, product analytics, customer analytics and financial analytics.
Last, DataChat is a no-code, generative AI platform for turning complex data into actionable insights. You can upload data and ask questions to get AI-generated answers, using built-in machine learning and predictive analytics. DataChat automates data preparation, exploration and modeling, so it's good for data scientists, analysts and business users who need fast and confident answers.