GenAI agent for product analytics - No more SQL

Manual repetitive SQL work burdens on the data, product, and growth teams of digital products, such as mobile apps, games, SaaS or PLG products

Data analysts are overloaded with tasks out of their focus, while other team members who are not SQL experts are forced to wait in line to make gut feeling decisions.

Dashboard analytics solutions are not built to answer ultra-granular questions that require multi-source data analysis.

Agentic AI comes for the rescue- ClairtyQ includes a semantic layer that is designed to learn the specific in-app events context (such as triggers, parameters, what these usage events mean etc.) and also knows how to mimic the work of human analysts so it optimizes the operation against the data stack.

Accuracy measures include unique validation engines as well as collaborative features that keep the data analysis team in the loop, while allowing teams to independently query the data as much as needed.

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Видео GenAI agent for product analytics - No more SQL канала ClarityQ