If you're looking for a platform that connects to your data warehouse and delivers insights that inform customer activation, conversion, and retention, Athena is a great option. Athena is an AI-native analytics platform that speeds up analytics workflows and connects directly to Enterprise Data Warehouses. It enables collaborative data exploration, automates workflows, and offers customizable reports, making it a great fit for companies that want to make data-informed decisions without manual workflow.
Another good option is Infer, a predictive AI-powered information retrieval system that connects to big data connectors like Snowflake, Azure, Google and Salesforce. Infer offers a range of applications, including lead scoring, customer retention and lifetime value prediction, that can help improve key performance indicators and avoid bad metrics. Its interface is designed to be easy to use, and its data integration is broad, making it a good option for optimizing business operations.
Also worth a look is Explo for its embedded analytics option. Explo lets you embed interactive dashboards and self-serve reporting directly into applications, connecting to relational databases and data warehouses. It offers customizable analytics experiences and ad-hoc reporting, which can be useful for product and engineering teams trying to improve their data-informed decision making.
For a no-code option, Rupert is a good choice. It helps product-led growth teams track user-level metrics and events in real-time and get signals that inform customer activation, conversion and retention. With options like metric and event tracking, a no-code trigger library and direct Slack integration, Rupert makes it easy for GTM and CS teams to monitor and respond to useful signals in their data warehouse.