Warehouse and lakehouse architecture
Batch, CDC and streaming patterns are selected around latency, governance, workload and cost.
Business intelligence and data platforms
Build a trusted data layer for decisions, AI and operations.
We move beyond dashboards to create governed data products, shared metric semantics, observable pipelines and decision feedback across business intelligence and AI workloads.
What we bring
Capabilities built for operating reality.
Technology, methods and governance are designed as one system with clear ownership, evidence and feedback.
Semantic metrics layer
Shared business definitions connect source data, analytical models, dashboards, APIs and AI context.
Data contracts and lineage
Ownership, quality expectations and end-to-end provenance make data changes visible before they break decisions.
Data and AI observability
Freshness, completeness, service telemetry, model inputs and downstream impact are monitored as one evidence chain.
Our solution architecture
Technology depth, shown in operating context.
Each visual is paired with the part of the solution it supports, connecting production technology, system boundaries, controls and operating evidence.
Ingestion and change capture
Batch, API, ELT, CDC and streaming paths are selected by business latency, source semantics, quality and recovery requirements.
Warehouse and lakehouse
Columnar analytics, object storage and open table formats support structured reporting, historical analysis and AI workloads.
Data products and contracts
Named owners, schema, quality SLOs, tests, access policy and change rules turn datasets into dependable services.
Semantic and metrics layer
Shared business definitions align dashboards, APIs, analytical models, embedded analytics and AI grounding.
Knowledge and decision access
BI, notebooks, reverse ETL, knowledge graphs, vector retrieval and controlled natural-language analytics use the same governed context.
Unified observability
Freshness, lineage, query and pipeline health, model inputs, service traces and cost are monitored as one evidence chain.
Production reference architecture
Modern business intelligence and data platform.
The governed path from source systems and change capture through trusted data products, semantic context and decision applications.
ERP & CRMWeb & SaaSIoT & EventsExternal Data
IngestBatch / API / ELT / CDC / Stream
Store & ProcessWarehouse / Lakehouse / Open Tables
Governed ProductsModels / Tests / Contracts / Ownership
Semantic ContextMetrics / Master Data / Business Terms
Decision AccessBI / APIs / RAG / NL Analytics
Catalog & LineageIdentity & AccessQuality & SLOObservability & CostRetention & Privacy
Reference architecture
A connected production flow.
The architecture makes responsibilities, interfaces, decision points and operating evidence visible from source to outcome.
Sources
Operational systems, files, events and external data.
Ingest
Batch, ELT, CDC and streaming with quality controls.
Organize
Storage, processing, catalog, lineage and access.
Serve
Data products, semantics, BI, AI and APIs.
Decide
Action, outcome measurement and feedback.
Standards and governance
Methods anchored in durable frameworks.
Standards are applied according to scope, system layer and jurisdiction. They inform architecture and controls without being presented as certification claims.
ISO/IEC 38505 and ISO 8000
Data governance and quality principles shape ownership, controls and fitness for use.
W3C DCAT 3 and PROV-O
Catalog and provenance models support discoverability and evidence across domains.
OpenLineage and OpenTelemetry
Data-job lineage and service telemetry connect pipeline behavior to user-facing decisions.
Evidence of value
Measure the system, not one model score.
Evaluation combines business outcome, system quality, operating reliability and governance evidence.
Trust
Freshness, completeness, accuracy, lineage coverage and semantic consistency.
Service
Query latency, availability, incident recovery and cost per analytical workload.
Decision value
Metric adoption, time from signal to action and measurable operating outcomes.