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Solutions / Data platform enablement
Solution · Databricks on Azure

Seasonal forecasts on a governed lakehouse.

We deliver business use cases end to end on Databricks, Azure Data Factory and Power BI: from stakeholder requirements to curated, Power BI-ready datasets.

At a glance
Used in:Agritech
IndustryAgriculture
PlatformDatabricks on Azure
ProofA leading agribusiness
Human authorityPlanner signs off forecasts

The problem.

Seasonal swings

Weather and markets move plans weekly.

Scattered data

Sites, ERP and partners in different systems.

Stalled pilots

Use cases must reach production.

Solution architecture.

The reference architecture we build and run.

Sources
Site intakeERPWeather and market data
Ingest
Azure Data FactoryDelta Live TablesQuality checks
Platform
Databricks lakehouseUnity CatalogAgent Bricks
Consume
Power BIForecast appAPIs
Run & evidence
LineageAccess log24x7 operations

How it runs.

Each step, who does it, and the control that applies.

#StepWhoControl
1Data landsPipelinesQuality checks run
2Features builtData engineerVersioned in Unity Catalog
3Forecast draftedForecast agentGoverned data only
4Variance explainedAgent Bricks agentEvidence attached
5Forecast signed offPlannerHuman authority on the plan
6PublishedPlatformLineage recorded

Governed by design.

Five guardrails on every agent, plus the controls for this solution.

ScopeA written job per agent
Human authorityPeople hold material decisions
PolicyRules enforced in the process
ReliabilityTested, monitored, rolled back
EvidenceEvery action on the record

Solution controls

  • Unity Catalog access and lineage
  • Every agent run logged
  • Planner signs off every published forecast
  • Models evaluated before promotion
  • Data kept in Azure Australia

What to expect.

ILLUSTRATIVE
Weeklyforecast refresh
-40%manual reporting effort
1governed source of truth

Illustrative outcomes for a typical engagement; your assessment sets real targets.

Proof.

Proof · Agriculture · Data & cloud · Databricks

A leading Australian agribusiness

Databricks, Azure Data Factory and Power BI platform; governed pipelines and new use cases live.

Read the story in Case studies →

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Bring us one process. We'll show you it running.

A 45-minute briefing with an engineer, or a 1-week assessment that ends in a costed roadmap.