Data & analytics consulting
From fragmented data to decisions you can trust.
We design and build data systems that bring scattered information together, make it reliable and turn it into analytics teams can actually use.
Sources
ERPCRMSQL ServerAPIsFiles
Ingestion
BatchCDCEvents
Data platform
RawValidatedCurated
Trust
QualityGovernanceLineage
Consumers
AnalyticsApplicationsAI / ML
What gets in the way
The dashboard is usually not the hard part.
Conflicting metrics and late reports usually begin upstream—in ownership, pipelines, quality and platform design.
01
Scattered databases
02
Spreadsheet dependence
03
Conflicting metrics
04
Manual reconciliation
05
Pipeline failures
06
Slow analytics
07
Expensive queries
08
Unclear ownership
09
AI blocked by unreliable data
Platform flow
Move data through explicit stages of trust.
Reliable analytics is a flow from source ownership through validation, governance and consumption.
Sources
ERPCRMSQL ServerAPIsFiles
Ingestion
BatchCDCEvents
Data platform
RawValidatedCurated
Trust
QualityGovernanceLineage
Consumers
AnalyticsApplicationsAI / ML
Capabilities
Engineering beneath trustworthy analytics.
Data engineering
- Ingestion
- Batch
- CDC
- Events
- Orchestration
Modern platforms
- Data lakes
- Iceberg
- Lakehouse
- Warehouses
Integration
- SQL Server
- PostgreSQL
- APIs
- SaaS
- Files
- Event streams
Analytics
- Business metrics
- Semantic models
- Dashboards
Quality & governance
- Validation
- Reconciliation
- Catalog
- Lineage
- Access
AI readiness
- Trusted datasets
- Governed access
- Retrieval datasets
- Model-ready data
Have a system you don't fully trust yet?
Start with a technical conversation. We will help you establish the facts and decide what to do next.