Sales Analysis
Compare product and regional performance
From Data to Decisions.
Transform complex, distributed and high-volume data into trusted, connected and actionable intelligence.
Decision Intelligence
Connected data
Governed access
Workflow context
Operational trends
Discovery & requirementsReview
Architecture & integrationConfigure
Delivery & validationValidate
Deployment & observabilityMonitor
Concept demonstration · no live operational metrics
Data Engineering
Build observable batch and streaming pipelines.
Data Analytics
Describe patterns, investigate causes and forecast.
Business Intelligence
Shared metrics and decision-ready dashboards.
Data Governance
Ownership, quality, security and traceability.
A scalable, secure foundation for your data, analytics and AI.
Modern Data Platform Architecture
Data Sources
- ERP, CRM, MES & PLM
- Files, databases & APIs
- IoT & external sources
Ingestion & Processing
- Batch & streaming
- ETL / ELT & CDC
- Quality & reconciliation
Data Platform
- Lake, warehouse & lakehouse
- Catalog & data products
- Governance & security
Analytics & AI
- BI & self-service
- Machine learning
- Conversational analytics
Business Outcomes
- Operational visibility
- Forecasting & optimization
- Decision support
Sample Dashboards & Insights
Concept visualizations · no customer results or measured operational data.
Operational Insights
Understand operating patterns
Predictive Analytics
Explore forecast scenarios
Customer Insights
Examine customer segments
Capabilities & approach
Data Engineering, AI & Decision Intelligence — Capabilities & Use Cases
Data strategy & architecture
Create an architecture that connects business domains, delivery teams and trusted data products.
- Enterprise Data Strategy
- Modern Data Architecture
- Data Modernization
- Lakehouse Architecture
- Domain / Data Product Architecture
- Hybrid / Cloud Data Platforms
Data engineering
Build observable pipelines for batch and real-time workloads.
- ETL / ELT
- Batch processing
- Streaming pipelines
- Change data capture (CDC)
- APIs & event-driven ingestion
- Data transformation
- Pipeline orchestration
- Data observability
Enterprise data mapping
Resolve the meaning, relationships and movement of data across enterprise systems.
- Source-to-target mapping
- Schema mapping
- Semantic mapping
- Metadata mapping
- Entity resolution
- Master Data Management
- Reference Data Management
- Data lineage
- Enterprise ontology
- Knowledge graphs
Data quality
Make trusted data a repeatable operating practice.
- Data profiling
- Cleansing
- Validation
- Deduplication
- Reconciliation
- Quality rules
- Anomaly detection
Data governance
Give data clear ownership and appropriate protection throughout its lifecycle.
- Data catalog
- Metadata
- Lineage
- Ownership
- Classification
- Access governance
- Retention
- Privacy controls
Modern data platforms
Choose the platform around workload, latency, governance and operating needs.
- Data Lakes
- Data Warehouses
- Lakehouses
- Real-Time Data Platforms
- Enterprise Data Hubs
Analytics & business intelligence
Create a shared understanding of performance with traceable definitions and useful decision context.
- Executive dashboards
- KPI frameworks
- Power BI
- Self-service analytics
- Operational analytics
- Embedded analytics
- Real-time analytics
Advanced analytics
Move from describing events to evaluating likely outcomes and possible actions.
- Descriptive: what happened?
- Diagnostic: why did it happen?
- Predictive: what will likely happen?
- Prescriptive: what should we do?
- Forecasting
- Optimization
- Simulation
- Segmentation
- Anomaly detection
AI/ML & conversational analytics
Connect natural-language questions with governed data, transparent analysis and evidence-backed responses.
- Machine learning
- AI analytics
- Natural-language analytics
- GenAI analytics
- Intelligent recommendations
- Decision intelligence
Knowledge graphs
Connect entities and context to reveal relationships that isolated tables can miss.
- Customer ↔ Product
- Supplier ↔ Machine
- Employee ↔ Location
- Transaction ↔ Incident
Digital twins
Bring live asset information into models that support simulation, prediction and operational planning.
- Physical Asset
- Live Data
- Digital Model
- Simulation
- Prediction
- Optimization
Agentic analytics
Specialized agents investigate signals and prepare recommendations for a governed decision layer. Human approval remains part of decisions that require it.
- Production Agent
- Quality Agent
- Maintenance Agent
- Supply Chain Agent
- Governed decision intelligence
- Human review & approval
Conversational Analytics
“Why did production efficiency decline this week?”
Locate authorized MES, quality and maintenance evidence, align time windows and investigate downtime and throughput patterns. Present source references, uncertainty and proposed next steps for an accountable reviewer.
Knowledge Graphs
Connect customers, products, assets, suppliers and locations with documented relationship types.
Relationship context
Product
Connect product records with shared identifiers, governed relationships and source lineage. Review relationships before using them as analytical evidence.
Product ↔ CustomerProduct ↔ SupplierProduct ↔ MachineProduct ↔ Employee
Explore Related Capabilities
Manufacturing & Engineering
Connect production systems and enterprise information to reveal patterns in availability, quality and resource use.
Explore industryGlobal Capability Centers
Develop shared platforms and centers of excellence that connect delivery speed with responsible governance.
Explore industryCybersecurity
Build security controls into applications, infrastructure, identities and data. Align compliance work with applicable requirements and verified evidence.
Explore capabilityLet’s build what comes nextLet’s Build a Safer, Smarter
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