Hidden concentration
Many records, one real entity.
One supplier contracted under several names across agencies; one household shopping as three customers. Resolution shows the true size of a relationship — and the leverage that comes with it.
The organizational knowledge graph
Your business is a network. Most of it is invisible.
Every invoice connects a supplier, a product, a cost center and an approver. Every shipment connects a client, a lane, a driver and a warehouse. Your systems record each transaction — but nobody sees the network they form together. VEPICT builds that network from your real data, and reads it for the potential your business has but has not recognized.
What it is
One connected picture of how your organization actually works
An organizational knowledge graph is a model of your business as things and the relationships between them — customers, suppliers, products, assets, people, places, contracts — built from the records your systems already hold, and kept up to date as those records change.
A data warehouse answers the questions you already know to ask: totals, trends, comparisons. A knowledge graph answers a different kind: what is connected to what, through whom, since when, and what that connection is worth. That is where unrecognized potential lives — not in any one table, but in the links between them.
Entities
Customers, suppliers, products, assets, people, places, contracts — each resolved to one record however many systems hold it.
Relationships
Bought, supplied, approved, located at, treated by, poured into — inferred from the transactions between entities.
Time
When each relationship began, changed and ended, so the graph shows how the business is moving, not only where it is.
Meaning
Shared definitions, owners and classifications, so every team reads the same entity the same way.
How VEPICT builds it
From scattered records to a graph you can question — in six steps
Nothing is re-keyed and nothing is replaced. The graph is derived from the data you already have, and every node and link can be traced back to the records it came from.
- 01
Connect
VEPICT Ingest reads your ERP, CRM, EHR, billing, HR, IoT, spreadsheets and APIs as they are. Syncs keep the copy current — full, appended or incremental.
- 02
Resolve
The same real-world thing appears in many systems under different names. Entity resolution matches them — on names, tax and registration numbers, addresses, bank accounts, emails and phone numbers — with a confidence score. Low-confidence matches go to a data steward to confirm.
- 03
Relate
Transactions become relationships. An invoice links a supplier to a product, a cost center and an approver; a placement links a candidate to a client and a skill; a heat links a furnace to every casting it poured. Relationships are inferred from what actually happened, not drawn by hand.
- 04
Give meaning
Data Forge semantic models define what each entity is, its keys, measures and the joins between models, with synonyms for the words people really use. Govern attaches glossary terms, owners and classifications — so “customer” and “active” mean one thing everywhere.
- 05
Keep time
Every link carries when it started and ended. The graph can be read as it is today or as it was on any date, so drift — a supplier quietly becoming critical, a customer quietly leaving — shows up as it happens.
- 06
Interpret
Graph analytics and AI read the network: which entities are central, which form communities, which paths connect cause and effect, which patterns are unusual, which entities look like your best ones. People ask questions in plain language with Ask; agents watch for patterns and raise them.
See the difference
The same data, before and after the graph
A distributor's records, as five systems hold them — and as VEPICT connects them. Switch the view.
Built on the VEPICT platform
Not a separate product to buy and run
The graph is assembled from capabilities VEPICT already uses to manage and govern your data, so it inherits the same sign-in, access rules and audit trail.
Ingest & OrchestrateConnections to the systems you run; syncs and workflows keep the graph current.
CatalogThe metadata graph every engine reads through, with lineage showing what each dataset is built from and feeds.
Data Forge semantic modelsEntities, keys, measures, joins and synonyms — the meaning layer the graph is organized by.
GovernOwners and stewards, glossary terms, classifications such as PII and PHI, quality rules, policies and audit.
Query & VistaExplore relationships in SQL, notebooks and dashboards; drill from an insight to the records behind it.
Ask & Agent StudioPlain-language questions over governed models; agents that watch for patterns and raise them with the right person.
Governed by design
Insight you can explain, from data you can trust
- Traceable. Every node, link and insight opens the records it came from.
- Human-confirmed. Uncertain entity matches go to a steward; nothing is merged silently.
- Access-aware. People see only the parts of the graph their access allows; classifications travel with the data.
- Private. Designed for HIPAA, HITECH and GDPR requirements, with full audit trails.
- Explainable. A finding is shown as the path that produced it, not a score from a black box.
From insight to value
- Discovery conversation. One business question and the systems that hold its data.
- A graph on your data. One domain first — suppliers, customers, assets or patients.
- Insight review. We walk through what the graph shows, path by path, with your people.
- Act and watch. Fix what matters; leave agents watching for the pattern to return.
Questions
About the knowledge graph
Do we need to buy a graph database?
No. The graph is built and kept within VEPICT alongside your data, using the platform's own catalog, models and governance. There is no separate product for your teams to run.
Does it replace our data warehouse or reports?
No. Your warehouse and dashboards keep answering the questions you already ask. The graph adds a different kind of question — about relationships, paths and patterns — and makes your existing reports more trustworthy because entities are resolved once.
What data do we need?
The data you already have. Transactional systems — ERP, CRM, billing, EHR, HR, operations — are the richest source, because every transaction is a relationship. Spreadsheets and files help too. We start with the systems that hold the answer to your first question.
How accurate is entity resolution?
Each match carries a confidence score and the evidence behind it. High-confidence matches are applied; uncertain ones go to a steward. Merges can be reviewed and undone, and the source records are never changed.
How do you protect sensitive data?
The graph uses the same access model as the rest of VEPICT. Classifications such as PII and PHI travel with the data, policies decide who can see what, and every access is audited.
How long before we see something?
That depends on your systems and data, and an initial discussion sets the scope. Starting with one domain and one question is the fastest route to a first insight.
What has your business been hiding from you?
Bring one question and the systems that hold its data. We will show you what the connections say.
Request a VEPICT consultation