Dashboarding Neo4j Data in Looker Studio: A Powerful Combination
Analyzing graph data in a dashboard for quick statistical insights
Graphs are great for relationship-rich data (1, 2, 3, 4, and 5). With the rise of Large Language Models (LLM), they are gaining popularity fast. In Retrieval Augmented Generation (RAG), graphs serve as reliable knowledge sources for Q&A systems such as chatbots and AI assistants. Conversely, we can ask the LLM chatbots English or Japanese questions and get answers back from the graphs without writing any codes (1, 2, 3, and 4). However, most chatbots, if not all (1), are still text-based. They are great for simple answers and even some easy statistical calculations. But for business users, diagrams, tables, and dashboards are still the bread and butter.
However, graph dashboards are rare. The Neo4j graph app NeoDash offers all the basic diagram types, but users have to write Cypher code to organize the data for each diagram. In comparison, the graph platform Gemini Explore provides no-code dashboarding. But that feature is still in development.
There is an alternative, though. We can channel the graph data to the well-established BI tools (Looker Studio, Preset, and Tableau) and create dashboards there. Interestingly, these BI tools are based on relational databases. And…
