Answers that arrive with their reasoning attached
The questions that matter cross five systems. Which customers are exposed to a supplier we just flagged. Which products used the batch we recalled. Which reports depend on the definition we changed last week. TopQuadrant holds the relationships those questions travel along, so the answer is a query rather than a three-week reconciliation.
Trusted to govern the data behind the world's most regulated decisions.
Your hardest questions are joins nobody modelled
A warehouse answers questions about one subject area well. It struggles the moment a question needs to hop from a customer to its parent, to the contracts that parent holds, to the suppliers behind those contracts. Those hops are relationships, and a graph is the structure that stores them. That is the whole argument.
To a first connected answer in production, where a bespoke integration takes months.
More accurate answers when the question resolves over governed relationships rather than inferred joins.
Connectors bringing the systems a multi-hop question needs into one queryable graph.
Multi-hop questions
Follow the relationship, however far it goes
Ownership hierarchies, product genealogies, supply chains, and study lineages are stored as traversable relationships. A question about second-order exposure or downstream impact runs as a single query rather than a chain of extracts.
- Traversal without pre-joining. Relationships are in the data, so you do not model the question in advance.
- Depth on demand. Follow a hierarchy to its ultimate parent or its last leaf in one pass.
- Inference where it earns its place. Derived relationships are computed and marked as derived.
Governed answers
The answer carries its definition
Every value returned points back to the governed metric or concept behind it, its owner, and its version. When two people get different numbers, the difference is visible in the definitions rather than argued about in a meeting.
- Definition attached. A returned figure carries what it means and who owns that meaning.
- Lineage attached. Follow the value back through mappings and transformations to source.
- Point-in-time answers. Ask the question as of a past date and get the definitions that applied then.
Impact & what-if analysis
See consequences before you commit
Because dependencies are modelled, you can ask what a change affects before making it. Retiring a code, restructuring a hierarchy, or changing a metric definition all become questions with an answer instead of a risk you absorb.
- Downstream impact. Every report, mapping, and system depending on an asset, listed.
- Change simulation. Model the effect of a proposed change against the current graph.
- Dependency alerts. Owners of affected assets are notified before a change publishes.
Delivery to the people asking
Put the answer where the decision happens
Governed answers reach analysts through SPARQL and BI tools, applications through APIs, and business users through natural-language interfaces that resolve against the same governed layer. One definition, several front doors.
- Analyst access. SPARQL, plus published views into Tableau, Power BI, and notebooks.
- Application access. APIs serving governed answers into operational systems.
- Conversational access. Natural-language questions resolved against governed concepts and entitlements.