General
SQL-to-Graph Analytics Notebook for Business Intelligence
SQLite holds structured business data (orders, users, events); neo4j-cypher models the relational data as a graph to expose network effects (customer referral chains, product co-purchase clusters); -code-interpreter executes Python analytics and visualisations on the combined dataset. The synthesises SQL query results, graph traversals, and statistical outputs into a single narrative insight report.
Tools connected
- Docker
- SQLite
What it automates
neo4j-cypher.graph_import + Cypher_traversal (graph JSON) → -code-interpreter.python_execution (charts/stats)
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