Data analytics NZ — actionable insights for Kiwi businesses

We design and deliver analytics platforms, dashboards, and ML-enabled pipelines that help New Zealand organisations make faster, data-driven decisions.

Data engineering & pipelines
Business intelligence & dashboards
Machine learning & forecasting

Request a consultation See tech stack

Data engineering

Robust ETL/ELT, streaming, and storage design to centralise your data and ensure reliable analytics.

BI & dashboards

Self-serve dashboards and KPI modelling for teams across product, finance, and operations.

Machine learning

End-to-end ML solutions: feature engineering, model deployment, and monitoring for production use.

Case study — Retail forecasting

A New Zealand retailer reduced stockouts by 28% with demand forecasting and automated replenishment signals.

Discuss a similar project

Case study — Financial insights

We consolidated fragmented financial data into a single analytics platform, cutting report preparation time by 70%.

Learn how

Our delivery approach

Discovery: Data assessment, stakeholders, and KPIs.
Design: Architecture, schema, and transformation patterns.
Build: Incremental implementation with CI/CD for data pipelines.
Operate: Monitoring, cost management, and knowledge transfer.

We work with your team to prioritise the highest-value use cases and deliver measurable outcomes.

Tech & tools

Snowflake, BigQuery, Redshift, Postgres, object storage (S3 compatible). We design cost-effective models with partitions and governance.

Airflow, dbt, Spark, Beam, Flink, and containerised processing on Kubernetes for scalable ETL/ELT pipelines.

Power BI, Looker, Metabase, TensorFlow, PyTorch, and model serving frameworks for reliable production ML.

Integrations

We integrate with NZ banking APIs, CRM systems, POS, and cloud-native services to centralise signals for analytics.

Discuss integrations

Engagement models & indicative costs

Model	Typical duration	Indicative NZD
Discovery & roadmap	2–4 weeks	$8k–$20k
Minimum viable analytics	8–12 weeks	$40k–$120k
Platform build & ops	3–9 months	Custom — contact us

Get a quote Our services

Ava Thompson

Lead Data Scientist

Ava leads our analytics practice with experience in forecasting and production ML for NZ clients.

Local team, global practices

Our engineers and analysts combine NZ domain knowledge with modern data engineering practices to deliver production-grade analytics that stakeholders can trust.