Peliqan

Build data models & KPIs with Peliqan AI

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Peliqan data platform

All-in-one Data Platform

Built-in data warehouse, superior data activation capabilities, and AI-powered development assistance.

Building data models and KPIs shouldn’t be a multi-day project. In this demo, see how Peliqan AI helps data engineers and analytics teams debug SQL query pipelines and generate KPIs in minutes – using a live Chargebee connection (customers, invoices, items, transactions).

What you’ll see:

1. Query lineage debugging
We build a chain of dependent queries (Query1 Query2 Query3), then break it by removing a column. Peliqan AI investigates the failure, traces the lineage across the pipeline, and fixes the broken query — with the full reasoning shown step by step. You can interrupt the agent at any time, inspect every tool call, and approve write actions manually or with auto-accept.

2. KPI generation from project notes
With a single prompt, Peliqan AI reads your project notes, identifies the KPIs that matter, and structures the SQL using the Medallion architecture. Results are ready to verify in seconds.

– No more hunting through pipelines to find what broke
– Lineage-aware fixes instead of guesswork
– KPIs structured the right way, following modern data warehouse best practices
– Full transparency and human-in-the-loop control

FAQs

Peliqan AI reads your project notes or prompts, identifies the right metrics, and generates KPIs structured using modern data warehouse best practices (Medallion architecture). The agent also traces query lineage to fix broken pipelines.

Yes. Peliqan AI traces lineage across dependent queries, identifies broken transformations, and proposes fixes – so you do not have to manually hunt through the pipeline.

The Medallion architecture is a data modeling pattern with Bronze (raw), Silver (cleaned) and Gold (business-ready) layers. Peliqan AI structures generated KPIs following this pattern.

Yes. Peliqan AI is human-in-the-loop – you see lineage-aware suggestions and full transparency before changes are applied. No silent automated edits.”

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