Ask a business question
Describe the metric, scope, time period, and business question in everyday language.
AI FOR PROCESS
Turn every business question intoa trusted decision
Shenzhou Q&A connects data, knowledge, and business processes through enterprise semantic modeling. Teams ask questions in natural language and receive verifiable answers with consistent definitions, access controls, and traceable sources, then carry those insights into action.
AI FOR PROCESS
From business questions to action, intelligence enters the operating process
Connect fragmented data, align business definitions, and keep people in the loop at critical decision points.
Align business meaning
Map terms, metrics, and business relationships to a governed semantic model.
Query with controls
Query approved data with consistent definitions and verifiable steps, sources, and results.
Analyze and review
Explore drivers and changes; business experts assess causes and confirm actions.
Feed back and reuse
Reviewed definitions, cases, and expert judgment feed back into models and workflows.
Make operational feedback the foundation for the next cycle of intelligence
Expert reviews, business actions, and new data are governed and used to update knowledge, semantic definitions, agents, and workflows.
Intelligence in the processOrganizational capabilities evolve
KNOWLEDGE ASSET
Help AI understand the business behind each field
Tables record facts. Semantic models connect those facts to business meaning.
We model and govern enterprise tables, metrics, dimensions, business terms, dictionaries, and data relationships. Definitions scattered across systems, documents, and expert knowledge become governed, traceable, reusable business language.
Once governed, semantic assets serve natural-language analytics, business reports, dashboards, agents, and automated workflows. As the business changes, definitions are refined so models and processes evolve together.
Business tables, fields, sources, and relationships
Metrics, dimensions, terms, dictionaries, and rules
Natural-language mapping, query controls, and validation
Analytics, reports, agents, and workflows
Build
semantic models once, reuse them across scenariosBusiness changes feed
back after expert review
SOLUTION CAPABILITIES
Combine data and AI capabilities around real business tasks
Extend from trusted queries to business analysis, collaboration, and workflow execution.
Unify semantics and access so answers are clear and traceable
Use a business semantic layer to govern natural-language queries across metric definitions, access scope, data sources, and query steps. Analysts can inspect results and execution details, find issues, and improve the model.
Semantic modelingAccess checksData
lineageQuery replay
Trusted natural-language analytics
Ask follow-up questions, compare metrics, and drill into details with inspectable data sources.
Root-cause analysis and forecasting
Find differences by region, product, and customer to support risk identification and next-step recommendations.
Business reporting
Generate analysis from consistent metrics and templates, with owner review and archiving.
Agents and workflow orchestration
Combine queries, notifications, and business tools to close the loop across monitoring, approvals, and follow-ups.
INDUSTRY SCENARIOS
Bring consistent semantics to critical decisions across industries
A shared foundation for data governance and semantics supports domain-specific analysis and expert knowledge.
Vehicle cost and cost-reduction analysis
Connect vehicle models, platforms, parts, suppliers, and reason codes under consistent cost definitions, with drill-down analysis to locate variances.
Cost semanticsCross-domain drill-down
End-to-end sales effectiveness
Connect customer, visit, scientific-event, and expense data to assess investment and performance across activities, responses, and outcomes.
SFE semanticsProcess to outcome
High-potential recommendations and best-seller monitoring
Bring together customer, marketing, transaction, and inventory signals to identify potential, diagnose campaigns, prioritize frontline tasks, and flag inventory risks.
Reusable across scenariosWorkflow
orchestration
BUSINESS VALUE
Trusted, controlled, and sustainable data investments
Embed governance in queries, analysis, and execution so trusted insights inform decisions and validated experience becomes reusable data assets.
Role-based access, query logs, process monitoring, and expert review bring governance into each query, analysis, and execution step. Teams get trusted insights faster while new definitions and validated experience become reusable organizational assets.
Complex business queries governed by semantic models
Natural language mapped to enterprise terms
Metric relationships and business rules
First response to a natural-language question
SOLUTION CONSULTATION
Turn business definitions into assets AI can understand and processes can reuse
Talk with Digital China about connecting trusted natural-language analytics to your operating processes, based on your business questions, data foundation, and governance goals.
