Entity matching
Recognize the same organization across systems so teams can assess its combined relationships.
BANKING CONTEXT FOR RISK AND BUSINESS DECISIONS
FOUNDATION · PREDICT360
Predict360 Data Intelligence Layer
Connect banking data to understand relationships, assess risk exposure, and act with context.
FINANCIAL ORGANIZATIONS USING PREDICT360
THE PREDICT360 FOUNDATION
190+Financial institutions served
13 yearsFinancial services regulatory experience
ABAPremier Partner
THE PROBLEM
See how customers, revenue, and risk connect
Customer, deposit, transaction, loan, and risk records live in separate systems. Teams piece them together to understand an exposure, investigate an issue, or evaluate a business opportunity.
Disconnected records
Conflicting definitions
Missing source evidence
WITH PREDICT360
The Predict360 Data Intelligence Layer connects structured data and documents in a shared banking model. It links customers, deposits, transactions, loans, collateral, partners, risks, and controls so analytics and AI agents can use the relationships behind a decision. Your teams get consistent business context and can trace findings to the information that supports them.
Relationship mapping
Link customers, deposits, transactions, loans, partners, and controls to understand activity and exposure across business functions.
Document evidence
Link extracted facts to the relevant passage and document version so reviewers can check the source.
Shared definitions
Give analytics and AI agents consistent business terms so each tool does not interpret the same data differently.
FEATURES
Give your data the context a decision needs
Bring customer, deposit, transaction, lending, partner, and risk data into a shared banking model that your teams, analytics, and AI agents can use.
- 01
Match records that describe the same legal entity across connected sources.
- 02
Map partners to the services, systems, and business processes that depend on them.
- 03
Link customers to loans, collateral, and related risk information.
- 04
Connect contractual obligations to related risks and controls.
- 05
Identify shared subcontractors across otherwise separate partner relationships.
- 06
Compare assurance coverage with the services your institution actually uses.
- 07
Bind document findings to the passage and version they came from.
- 08
Trace derived findings through their source data and transformations.
- 09
Record conflicting source values so reviewers can see and resolve the disagreement.
- 10
Apply shared business definitions across analytics and AI agents.
- 11
Retain the history needed to examine what was known at a past point in time.
- 11
Connect deposit accounts and transactions to the customers and relationships behind them.
CAPABILITIES
See connections that individual systems cannot show
Connect business relationships, provide context for revenue decisions, and give reviewers the evidence behind risk findings.
CONNECT
Understand partner dependencies
Follow a partner through the services and processes it supports. Identify common subcontractors and relationships that a vendor register alone cannot show.
ANALYZE
Understand deposit relationships
Give Deposit Intelligence connected customer, deposit, and transaction data to put account activity in context. Extend that shared banking context to lending analysis.
VERIFY
Trace findings to evidence
Follow a finding back to its records and document passages. Review which version supported a decision and what information was available at the time.
BY ROLE
Shared data context for different decisions
CHIEF RISK OFFICER
You need to see which dependencies could disrupt the business.
Follow partners through their services, systems, and business processes. Examine shared subcontractors and compare declared criticality with the relationships behind it, so your team can prioritize the exposures that deserve review.
Request a demoConnectedPartner and process relationships
VisibleShared subcontractor dependencies
TraceableEvidence behind risk findings
CHIEF COMPLIANCE OFFICER
You need to explain which obligations are covered and where gaps remain.
Connect obligations with controls and supporting evidence. Check source passages and document versions when a finding needs review. Give your team a clear basis for investigating coverage gaps and explaining its decisions.
Request a demoMappedObligations and controls
CitableSource passages and versions
HistoricalInformation known at a point in time
CHIEF FINANCIAL OFFICER
You need to understand the customer activity behind changing deposits.
Connect customers, deposit accounts, balances, and transactions to see activity across a banking relationship. Give Deposit Intelligence the context to help your team examine deposit inflows and outflows, understand changes in balances, and evaluate deposit opportunities alongside lending relationships.
Request a demoConnectedCustomers, deposit accounts, and transactions
ContextualDeposit activity and lending relationships
TraceableSources behind financial analysis
CHALLENGES
When the answer spans records, systems, and documents
A customer record shows one part of a relationship. Deposits, transactions, loans, collateral, partners, risks, and controls add the context needed to evaluate it. Connecting these records helps teams understand how activity, an opportunity, or a disruption affects the institution, with evidence they can review.
Business dependencies
Coverage gaps
Source evidence
- 01
One company, different records
Separate systems can describe one organization as a vendor, customer, or counterparty. Matching those records helps reveal relationships a single list misses.
- 02
A dependency hidden in contracts
Two partners can rely on the same subcontractor. Connecting those relationships helps teams identify a common point of exposure.
- 03
A report that misses the service
Having an assurance report does not establish that it covers the service you consume. Connect service scope with the supporting document before relying on it.
FOR THE WHOLE TEAM
Spend less effort reconstructing the context
Risk and compliance
Program managers
Board members
Practitioners need evidence they can check. Finance teams need customer and transaction context. Managers need to understand business dependencies and coverage gaps. Board members need a clear explanation of the exposure. A shared data foundation gives each audience common relationships and definitions.
Less record reconciliation
Connect different records of the same organization before assessing its relationships.
Clearer priorities
Relate a partner to the business processes it supports when reviewing criticality.
Focused control reviews
Identify obligations without mapped controls for further investigation.
Evidence within reach
Follow document findings to their source passages and versions.
Consistent reporting
Reuse shared definitions across analytics and AI use cases.
Better decision records
Preserve source context and history so teams can explain what informed a finding.
EVALUATION FAQ
Data Intelligence Layer questions
What risk, compliance, finance, and technology teams need to know about shared data context in Predict360.
The Data Intelligence Layer is the shared banking data foundation for Predict360 capabilities, analytics, and AI agents. It connects records and documents using common definitions of customers, deposits, transactions, loans, partners, risks, and controls. Those relationships provide context for questions that require information from more than one system, such as which partners support a critical business process.
A data connection moves or exposes information. The Data Intelligence Layer adds shared meaning: which records describe the same organization, how a partner supports a process, and how an obligation relates to a control. Analytics and AI agents can then use those definitions consistently instead of interpreting the same records separately.
No. It works above your source systems, connecting their data through shared banking definitions and relationships. Your core banking, customer relationship management, loan origination, and risk systems keep their operational roles. Integration scope and deployment are defined around your institution’s sources, data access, and use cases.
Traceability connects a finding to the information used to produce it. For extracted document facts, that means the relevant passage and document version. For derived findings, it means the source records and transformations. Reviewers can examine that evidence and investigate conflicting information rather than relying on an answer without its source context.
It supports review by connecting obligations, controls, and evidence so teams can investigate gaps and explain findings. It does not determine that an institution is compliant or guarantee an examination outcome. Regulatory scope varies by charter and states of operation, and your team remains responsible for interpreting requirements and validating control coverage.
Start with a specific business question and the sources needed to answer it. For example, identify which partners support a critical process and whether they share a subcontractor. Scope data access, ownership, quality, and review requirements around that question before extending the model to additional use cases or systems.
LENDING INTELLIGENCE RESOURCES
CUSTOMER VOICES
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