Metric Definitions Differ Across Risk and Growth
Retail finance, credit cards, branch operations, risk, and compliance often use different metric logic, making management decisions hard to align.
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SwiftMetrics Ontology FoundationSemantic capability for AI-callable enterprise dataData AgentNatural-language analytics and decision intelligenceClawTeams AI TeamGoal-driven AI team collaboration and deliveryDataHub Data AssetsCompliant data product marketplace with PSISwiftXDP Multi-Entity Tag PlatformMulti-entity tags and customer intelligenceSwiftMA Marketing AutomationCreate, execute, and optimize personalized marketing strategies
Consumer BrandsMembers, channels, inventory, and growth loopsRetail ChainsHQ-region-store operating agentsState-Owned GroupsData elements and management decisionsHigh-Tech ManufacturingQuality, delivery, and inventory attributionBankingTrusted Q&A, risk, and customer journeysSecuritiesAUM, advisory service, and asset operations
Banking
Banking
Banking solution powered by metrics semantic ontology and Data Agent capabilities, helping enterprises become Data AI Ready and upgrade decision intelligence.
Industry
Banking
Pain Signals
5
Know-how / Cases
4 / 3
INDUSTRY AGENT
Customer
Account
Risk
Branch
Channel
Journey
SEMANTIC
ANALYTIC
ACTION
Industry Intelligence
Banking
Banking solution powered by metrics semantic ontology and Data Agent capabilities, helping enterprises become Data AI Ready and upgrade decision intelligence.
SwiftMetricsSwiftAgentSwiftXDP + SwiftMADataHub
PainMetric Definitions Differ Across Risk and Growth
SolutionTrusted Financial Metric Ontology
ValueFrom journey insight to personalized service and multichannel strategy feedback.
Pain Points
Where business teams get blocked before AI can work.
Branch Leaders Wait for Analysis
Branch presidents and department heads need instant insight, but traditional data requests and manual reports cannot support daily decisions.
Customer Journey Breaks Across Channels
Mobile banking, outlets, customer managers, campaigns, and service channels are disconnected, weakening next-best-action and experience management.
Governance, Permission, and Audit Requirements Are High
Financial scenarios require trusted metrics, permission control, lineage, and explainable reasoning before AI can be safely used by business teams.
Risk Signals Are Hard to Turn Into Action
Abnormal deposits, loans, transactions, card usage, and customer behavior need root-cause analysis plus SOP-based response.
Solution Advantages
Turn metrics, agents, and actions into one operating loop.
Trusted Financial Metric Ontology
SwiftMetrics organizes customer, account, product, branch, risk, channel, and staff metrics with lineage and permission boundaries.
Governed Data Agent for Branch Decisions
SwiftAgent supports natural-language data access, attribution, abnormal diagnosis, and SOP report generation on top of trusted metrics.
Journey-Based Customer Operations
SwiftXDP and SwiftMA connect OneID, tags, campaigns, channels, and feedback to deliver refined customer operations.
Secure Data Asset Operations
DataHub packages financial metric assets and scenario data products under permission, audit, and compliance controls.
Industry Know-how
Reusable field method for Data AI Ready transformation.
Put Governance Before Chat
Banking AI must start from metric semantics, permissions, lineage, and explainable calculation paths.
Trusted AIDesign by Role and SOP
Branch presidents, customer managers, risk teams, and product teams need different question templates and action SOPs.
Role SOPClose the Risk-Growth Loop
Growth analysis must see risk indicators, while risk alerts must translate into customer and branch actions.
Risk-GrowthMake Reports Agent-Generated
Daily, weekly, and campaign reports should be generated from governed metrics with traceable drill-downs.
Report AgentCustomer Cases
Representative landing scenarios across leading enterprises.
Bank Customer Journey Project
DigitForce's omnichannel customer journey analytics platform helped improve customer experience across products, pricing, process, channel, sales, and service.
Pain：Customer journeys crossed products, channels, sales, and service teams with fragmented data definitions.
Solution：SwiftMA and SwiftXDP linked journey nodes, tags, events, and campaign execution.
Value：From journey insight to personalized service and multichannel strategy feedback.
Leading Bank Digital Upgrade Project
The project improved digital platform capabilities around user operations and metrics management.
Pain：Retail customer growth slowed and mobile banking became the primary operation channel.
Solution：SwiftMetrics and SwiftMA connected top-down metrics with bottom-up lifecycle strategies.
Value：From metric governance to strategy launch, monitoring, and optimization.
Credit Card User Operations Project
The project upgraded customer operations capabilities around credit-card user scenarios.
Pain：Card usage, consumption guidance, points, benefits, and member operations needed a unified customer view.
Solution：SwiftXDP upgraded tag production, insight, and multi-touch campaign execution.
Value：From cardholder tags to scenario strategies and operation effect recovery.
Pain Signals
Industry Pain Points
Metric Definitions Differ Across Risk and Growth
Retail finance, credit cards, branch operations, risk, and compliance often use different metric logic, making management decisions hard to align.
Branch Leaders Wait for Analysis
Branch presidents and department heads need instant insight, but traditional data requests and manual reports cannot support daily decisions.
Customer Journey Breaks Across Channels
Mobile banking, outlets, customer managers, campaigns, and service channels are disconnected, weakening next-best-action and experience management.
Governance, Permission, and Audit Requirements Are High
Financial scenarios require trusted metrics, permission control, lineage, and explainable reasoning before AI can be safely used by business teams.
Risk Signals Are Hard to Turn Into Action
Abnormal deposits, loans, transactions, card usage, and customer behavior need root-cause analysis plus SOP-based response.
Agent Solution
Solution Advantages
Trusted Financial Metric Ontology
SwiftMetrics organizes customer, account, product, branch, risk, channel, and staff metrics with lineage and permission boundaries.
Governed Data Agent for Branch Decisions
SwiftAgent supports natural-language data access, attribution, abnormal diagnosis, and SOP report generation on top of trusted metrics.
Journey-Based Customer Operations
SwiftXDP and SwiftMA connect OneID, tags, campaigns, channels, and feedback to deliver refined customer operations.
Secure Data Asset Operations
DataHub packages financial metric assets and scenario data products under permission, audit, and compliance controls.
Industry Know-how
How to Make Industry Data AI Ready
A Data Agent only works when industry concepts, metrics, roles, permissions, and execution workflows are modeled together.
Trusted AI
Put Governance Before Chat
Banking AI must start from metric semantics, permissions, lineage, and explainable calculation paths.
Role SOP
Design by Role and SOP
Branch presidents, customer managers, risk teams, and product teams need different question templates and action SOPs.
Risk-Growth
Close the Risk-Growth Loop
Growth analysis must see risk indicators, while risk alerts must translate into customer and branch actions.
Report Agent
Make Reports Agent-Generated
Daily, weekly, and campaign reports should be generated from governed metrics with traceable drill-downs.
Customer Cases
Customer Cases
Joint-Stock Bank
CASESwiftMA
Bank Customer Journey Project
DigitForce's omnichannel customer journey analytics platform helped improve customer experience across products, pricing, process, channel, sales, and service.
Pain: Customer journeys crossed products, channels, sales, and service teams with fragmented data definitions.
Solution: SwiftMA and SwiftXDP linked journey nodes, tags, events, and campaign execution.
Value Path: From journey insight to personalized service and multichannel strategy feedback.
Bank revenue increased by 10-20%
Leading Joint-Stock Bank
CASESwiftMetrics / SwiftXDP / SwiftMA
Leading Bank Digital Upgrade Project
The project improved digital platform capabilities around user operations and metrics management.
Pain: Retail customer growth slowed and mobile banking became the primary operation channel.
Solution: SwiftMetrics and SwiftMA connected top-down metrics with bottom-up lifecycle strategies.
Value Path: From metric governance to strategy launch, monitoring, and optimization.
Significantly improved strategy launch efficiency
Leading Bank Credit Card Center
CASESwiftXDP / SwiftMA
Credit Card User Operations Project
The project upgraded customer operations capabilities around credit-card user scenarios.
Pain: Card usage, consumption guidance, points, benefits, and member operations needed a unified customer view.
Solution: SwiftXDP upgraded tag production, insight, and multi-touch campaign execution.
Value Path: From cardholder tags to scenario strategies and operation effect recovery.
Significantly improved user stickiness