
Data analytics in Brisbane — practical, measurable outcomes
Dorquiva helps Brisbane organisations turn data into decisions: data engineering, BI, predictive models, and operational analytics tailored for Australian enterprises.
Overview
Dorquiva combines engineering rigour with pragmatic product thinking to deliver analytics that integrate with your workflows and drive measurable KPIs — increased revenue, reduced cost, faster decisions.
- Data platforms & pipelines
- Business Intelligence & dashboards
- Predictive models & ML ops
- Embedded analytics & real-time insights

Services
Data engineering
Reliable ETL/ELT, data lakes, warehousing and event-driven pipelines built for scale and governance.
Business Intelligence
Dashboard design, reporting automation and self-serve analytics for product, sales and operations teams.
ML & predictive analytics
Model development, validation and deployment with monitoring and reproducibility for production use.
How we work
A pragmatic delivery approach focused on outcomes: quick prototypes, iterative delivery and operational handover.
Case studies
Retail demand forecasting
Reduced stockouts and markdowns with weekly forecasts integrated into replenishment workflows.

Operational BI for logistics
Real-time KPIs and alerts reduced delivery exceptions by 18% in three months.

Tools & pricing guide
Typical stack choices and indicative engagement tiers. Final scope is quoted after discovery.
| Area | Common tools | Indicative engagement |
|---|---|---|
| Data platform | Snowflake, BigQuery, Azure Synapse | AU$25k–150k (platform + pipelines) |
| BI & dashboards | Power BI, Tableau, Metabase | AU$10k–60k |
| ML & models | Python, MLflow, Vertex AI | AU$15k–120k |
Team & local presence
A. Matthews
Our Brisbane presence enables close collaboration with Queensland customers; we pair local engagement with remote teams across Australia for specialist delivery.
Frequently asked
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