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Bring us your hardest data problem
SOLUTIONS · PARTY & RELATIONSHIP INTELLIGENCE

Sound familiar?“We have the relationships in our data. We can’t see the opportunities hidden inside them.”

Go beyond the golden record. Understand the entire relationship.

Connect identity, transactions, relationships, history, and business context across every system. Enterprise Digital Brain builds a continuously evolving understanding of every party, then uses agents to uncover hidden meaning, identify opportunities, and orchestrate the right intelligence into every system, channel, and decision.

Bring us your hardest party-data problem See how party intelligence works
The problem has moved beyond identity

Knowing who they are is only the beginning.

Most enterprises can create a customer, supplier, or account record. The harder problem is understanding what that party means across the business: how it relates to other entities, what its transactions reveal, which hierarchy matters, which systems disagree, and what opportunities or risks are hidden in the network.

01 · Fragmented understanding

“Our systems each know part of the customer. None understand the whole relationship.”

CRM holds the contacts, ERP holds the billing, commerce holds the behavior, service holds the history. Each is right about its slice, and nobody sees the relationship they add up to.

02 · Records without behavior

“We have mastered records, but cannot connect them to transactions and behavior to improve decisions.”

A clean record says who the party is. It says nothing about what they buy, what they stopped buying, or what they are likely to need next.

03 · Many versions of the truth

“Different systems and channels need different versions of the truth, and we cannot manage them consistently.”

Finance needs the legal entity, sales needs the buying center, service needs the installed base. Forcing one canonical record onto all of them breaks someone.

04 · Relationships outgrow systems

“Our account, supplier, and organizational relationships are more complex than our systems can represent.”

Subsidiaries, shared ownership, partners, and multi-site buyers form networks. Most systems can only draw a tree.

05 · Endless re-rationalizing

“We keep re-rationalizing party data every time we launch a new ERP, CRM, acquisition, region, or initiative.”

Every program starts the matching and mapping over, because the decisions made last time were never kept.

06 · Unasked questions

“We have the data to identify new opportunities, but nobody knows what questions to ask.”

Whitespace, hidden relationships, and risk are already in the data. Without something reasoning across it, they stay invisible.

From record mastering to party intelligence

From fragmented records to enterprise party intelligence.

  1. 01 · Resolve

    Establish trusted identity across fragmented systems, records, and sources.

  2. 02 · Understand

    Connect the party to the context that gives the record meaning.

  3. 03 · Orchestrate

    Continuously create and publish the right trusted representation for every use case.

  4. 04 · Optimize

    Turn party intelligence into better decisions, actions, and opportunity discovery.

Every decision, exception, relationship, and outcome becomes reusable enterprise intelligence.

What the Brain can uncover

The relationships already exist. The intelligence inside them is still hidden.

Move from maintaining party data to continuously optimizing it.

Enterprise Digital Brain agents can monitor, reason, recommend, act, and learn across party-data processes instead of relying on static rules and growing stewardship queues.

Account whitespace

Which products, services, or relationships are missing from an account that should logically be present?

Hidden enterprise relationships

Which customers, suppliers, entities, or locations are connected even though the systems treat them as separate?

Customer opportunity

Which customers show behavior, product ownership, or needs that indicate the next likely opportunity?

Supplier risk

Where do shared ownership, concentration, dependencies, or transaction patterns create unseen risk?

Buying-center intelligence

Who actually influences, buys, uses, services, and approves across a complex account?

Relationship expansion

Where can one business relationship be expanded across subsidiaries, locations, product lines, or services?

M&A overlap

Which customers, suppliers, and relationships overlap across acquired companies, and how should they be rationalized?

Next-best action

Given identity, relationship, transactions, and history, what should the enterprise do next?

Traditional MDM maintains records. Enterprise Digital Brain continuously improves the enterprise’s understanding of the parties behind them.

One enterprise understanding. Multiple optimized views.

There may not be one golden record.

Different systems need different representations of the same customer, supplier, account, or organization. Enterprise Digital Brain maintains one trusted enterprise understanding, then continuously creates the right view for each system, channel, process, and agent.

One trusted understanding
Shared identityShared provenanceShared confidence
Illustrative

The goal is not one record everywhere. It is one trusted understanding, expressed correctly everywhere.

Master + transaction + relationship intelligence

Master data tells you who they are. Transactions tell you what is happening. Enterprise Digital Brain understands both.

Enterprise Digital Brain is not limited to mastering entities. It reasons across master records, transaction history, relationships, operational signals, and enterprise knowledge to reveal business meaning.

Master data
Acme Industrial12 locations3 subsidiaries2 buyer groups
Transactions
$8.4M spendCategory concentrationService incidentsOrder patternsLost quotes
Relationships
Corporate hierarchyContactsInstalled productsSupplier tiesPartner relationships
Enterprise Digital Brain insightIllustrative

“Acme appears to be managed as four separate accounts, but represents one strategic relationship with significant cross-sell potential, overlapping supplier exposure, and service expansion opportunity.”

Cross-sell potentialSupplier exposureService expansion
Core solution use cases

Where party intelligence goes to work.

01

Enterprise Party Intelligence

Create a connected, contextual view of customer, supplier, account, organization, location, and relationship data.

02

Dynamic Mastering

Continuously resolve, reconcile, enrich, and improve party records as systems and business context change.

03

Multi-System Record Rationalization

Rationalize identity and records across multiple ERPs, CRMs, regions, acquisitions, and channels.

04

Transaction + Master Intelligence

Connect party identity to transaction and operating behavior to improve decisions and strategy.

05

Account & Relationship Intelligence

Discover hierarchies, affiliations, buying centers, ownership, and previously hidden relationships.

06

Customer & Supplier Opportunity Intelligence

Identify whitespace, concentration, service needs, supplier risks, relationship expansion, and next-best actions.

07

M&A / Enterprise Consolidation

Understand overlapping customers, suppliers, records, hierarchies, and relationships across acquired businesses.

08

Agent-Ready Party Intelligence

Give enterprise agents trusted identity, context, relationships, history, provenance, and confidence.

Traditional MDM vs party intelligence

MDM is necessary. It is not the whole answer.

Traditional MDMEnterprise Digital Brain party intelligence
Golden recordLiving enterprise understanding
Match & mergeResolve + reason
Static survivorship rulesContext-aware orchestration
One canonical representationRight view for every use case
HierarchiesDynamic relationships and networks
Master attributesMaster + transactions + behavior + knowledge
Stewardship queuesAgentic execution + human judgment
Customer 360Customer understanding + recommended action
Maintains truthUses truth to optimize the business
Trust and governance

Every insight should show why it deserves to be trusted.

Source and provenance
Evidence
Confidence
Policy and consent
Human review where required
Decision history
Reversibility
Learning from correction

Enterprise Digital Brain does not just say who is connected or what should happen next. It shows the evidence, confidence, and reasoning behind the conclusion.

Pilot

Bring us the party-data problem your systems cannot explain.

Give Enterprise Digital Brain a sample of customer, supplier, account, transaction, or relationship data. We will show what can be resolved, connected, inferred, rationalized, and uncovered, with the evidence behind every decision.

Possible pilot entry points
Cross-ERP customer or supplier rationalizationMaster + transaction opportunity discoveryComplex account / hierarchy discoveryM&A customer and supplier overlapAgent-ready party intelligenceDynamic party-data quality and reconciliation
Bring us your hardest party-data problem

Questions about party and relationship intelligence

Party and relationship intelligence goes beyond creating a master record. It connects customers, suppliers, accounts, organizations, transactions, hierarchies, interactions, and business context to understand how parties relate to the enterprise and what those relationships mean.

Traditional MDM focuses primarily on resolving identity, matching records, applying survivorship rules, and maintaining a golden record. Enterprise Digital Brain adds relationships, transactions, context, reasoning, and agents so the enterprise can use mastered data to make decisions, uncover opportunities, and continuously improve how party data is used.

Yes, but one golden record may not be sufficient for every business use case. ERP, CRM, commerce, service, and AI systems often require different views of the same party. Enterprise Digital Brain maintains a trusted enterprise understanding and can create the appropriate representation for each system or decision.

Yes. AI agents can continuously monitor party data, identify conflicts, recommend matches and merges, detect relationship changes, rationalize records across systems, route uncertain decisions for human review, and learn from previous decisions.

Enterprise Digital Brain can resolve identities across ERP, CRM, commerce, service, transaction, and other systems, then connect those records through shared entities, relationships, hierarchies, and context. The result is a common enterprise understanding without requiring every system to store an identical record.

Yes. Connecting master data with transactions, orders, service history, contracts, product ownership, interactions, and other operational signals can reveal insights that master records alone cannot provide, such as account whitespace, supplier risk, buying relationships, and service opportunities.

By understanding relationships across customers, suppliers, accounts, products, transactions, locations, and organizations, Enterprise Digital Brain can identify patterns such as cross-sell opportunities, account expansion, hidden buying centers, service needs, supplier dependencies, and previously unknown relationships.

Enterprise Digital Brain evaluates identity, source authority, relationships, business context, transaction history, and system requirements to determine which records should merge, remain separate, or be represented differently for particular systems and channels.

Dynamic mastering continuously evaluates and improves master data as new records, transactions, relationships, and business context appear. Instead of relying only on static matching and survivorship rules, Enterprise Digital Brain can reason over changing enterprise context and learn from previous decisions.

AI agents need more than access to customer or supplier records. They need identity, relationships, context, history, provenance, confidence, policies, and business meaning. Party intelligence provides that trusted context so agents can reason and act more reliably.

Heal and amplify PIM and MDMMake the platforms you already own smarter. Cognitive data operationsWe don’t know if our data is ready for what comes next.

Bring us your hardest data problem.

Bring the records your team cannot confidently resolve. We will show what can be matched, connected, and explained, with the evidence behind every decision.

Bring us your hardest data problem