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platformEnterprise intelligence for the way you work.

Uplyst connects operational data, business relationships and real time events to support decisions across your enterprise.

integrationsConnect your enterprise systems.

Explore Uplyst integrations across business applications, data platforms, databases, event streams and industrial systems.

DocumentationTechnical guides for connected systems

Guides to enterprise architecture, semantic models, integration contracts, security and operations.

resourcesEnterprise intelligence in practice

Architecture, integration and governance guidance for connecting enterprise data with operational decisions.

See how the business is connected.

A knowledge graph connects the records that matter to a decision. Follow a supplier delay through components, production orders and customer commitments to understand where it may have an impact.

Which customer commitment depends on this component?

Supply dependencies
  1. SupplierSUP-08
    Supplies
  2. ComponentCMP-16
    Required by
  3. OrderORD-42
    Fulfils
  4. CommitmentCOM-27

SUP-08 → CMP-16

Recorded relationship

The approved purchasing record names supplier SUP-08 for component CMP-16.

Relationship ownerProcurement

CMP-16 → ORD-42

Recorded dependency

The production requirement links component CMP-16 to order ORD-42. Available inventory still needs checking.

Relationship ownerProduction planning

ORD-42 → COM-27

Recorded obligation · impact requires review

The order references commitment COM-27. A supplier delay may affect the commitment; the path alone does not establish the outcome.

Relationship ownerCommercial operations
Each relationship retains its supporting records and responsible owner.

Follow dependencies across applications

A list of delayed orders shows a problem. Connecting those orders to customers, contract dates, inventory and production dependencies helps explain its consequences.

Uplyst uses knowledge graphs to connect enterprise information. The model preserves meaningful distinctions, such as an organization and its account, a physical asset and its record, or an obligation and the document that describes it.

A business analyst investigates the relationship between a supplier, an order and a customer in a connected records workspace.
Trace the relationship and the evidence that makes it useful to the decision.

Understand the evidence behind a connection

An order line recorded by an ERP, a service obligation stated in a contract and a suggested customer match have different levels of certainty. That distinction matters when a relationship informs a decision.

A relationship needs its source, time and supporting evidence. For an inferred connection, the rule or method used is also part of the explanation.

Evidence behind the relationship

Evidence, inference and uncertainty
Recorded fact
The purchasing record connects supplier SUP-08 and component CMP-16.
Analytical lead
A delay could affect order ORD-42 through its component requirement.
Still to establish
Current stock, alternatives and the achievable delivery date.
Decision boundary
The graph does not independently amend a customer commitment.

Ask questions across the business

Graph queries can follow an asset to its facility and service commitments, or a supplier to components and production orders. Useful paths depend on the business question, available evidence and the user’s permissions.

RDF represents graphs as statements about resources; SPARQL provides a standard query language for RDF. Technology choices depend on the workload, existing infrastructure and operating requirements.

  • Which commitments depend on this asset?
  • Which source supports this relationship?
  • Which connected records can this user access?
  • What changed since this decision was made?

Service dependencies

AssetsupportsFacilitydeliversServicehasCommitment

A useful traversal follows business relationships, permitted evidence and a defined question.

Relationship investigation follows supplier SUP-08 through component CMP-16 and order ORD-42 to its customer commitment, with supporting evidence.
Trace a business connection to its source evidence.

Account for changing relationships

Assets move, contracts expire and customer hierarchies change. The date a relationship became valid can differ from the date the system learned about it. Both can matter when reconstructing a past decision.

Corrections, expiration, reconciliation and deletion keep the graph aligned with its sources. An obsolete relationship should not continue influencing current analysis.

Which relationship was true?

Relationship history
Business effective date
1 September · asset assigned to Facility B
Source recorded date
3 September · assignment update received
Historical question
At which facility was the asset operating on 2 September?
Review requirement
Retain effective time and the later recorded correction.

Keep connections dependable

Missing links, conflicting identifiers and restricted records limit what a graph can answer. Those gaps need to remain visible in the explanation rather than becoming an assumed connection.

Source ownership, quality checks and a way to challenge disputed relationships support the model as records and business definitions change.

Understand the dependencies behind a decision.

  • Trace dependencies across operational systems
  • Inspect the evidence behind relationships
  • Account for uncertain or outdated connections
Discuss your data relationships

Related capabilities and resources

Give enterprise data a shared business meaning.Understand the reasons behind a change.Knowledge graphs in operationsLineage for operational decisions