Agentic analytics with the Data Agent Kit
Imagine your director sends you a chat message Monday morning: Our average order value dropped 7% in January, but total revenue stayed flat. Why?
If you’re a data practitioner, you know why these types of questions can be tough. They’re totally open ended. There’s not a single root cause dashboard you can open. Was there an error in the web logs? Was a promo code misconfigured? You won’t know until you start digging, and you rarely find the answer in just one place.
Each piece of the answer lives somewhere different in your environment:
- Sales history (orders and line items) sits in a data warehouse
- Live customer records are in a production PostgreSQL instance
- Marketing campaign rules are raw JSON files in an object store
Writing any one of these queries is easy. You’ll write the same one a dozen times, tweaking WHERE clauses or adding subqueries to find the...
Copyright of this story solely belongs to cloud.google.com. To see the full text click HERE
