We demonstrate tooling that uses visual aggregation to solve the hairball problem of graph visualization. This enables users to explore large knowledge graphs, from the meta level down to all node details without any query language skills. Through a demo, we show how the SemSpect approach can help to interactively uncover hidden relationships and dependencies between data points to make informed business decisions.