AI implementation

Data Engineering & Analytics.

Dependable pipelines and decision-ready dashboards, with tools sized to your budget and use case.

Right-sized tools

Platforms chosen for your data volume, skills and budget, not for complexity.

Easy to adopt

Workflows and dashboards your own people can learn, use and extend.

Implementation included

From use-case discovery through a working pilot to rollout and training.

Data foundations

Connect the sources that matter.

We audit the data you have, find the use cases it supports, and build repeatable pipelines.

  • Application and API integration
  • Spreadsheet and file-based data processing
  • Cloud data warehousing with BigQuery
  • Documented transformations and data quality checks

Decision products

Make the output clear and timely.

Power BI and Looker Studio turn governed data into focused dashboards for the people making decisions.

  • Power BI business intelligence
  • Looker Studio reporting
  • Scheduled refreshes and reliable metrics
  • Role-appropriate views for teams and leaders

Pilot first

Prove one useful outcome before scaling.

Pick a high-impact, feasible use case, pilot it, and let real feedback guide the rollout.

Featured case study

One regional data platform. A clearer view of every outlet.

Pipedream workflows connect operational and financial data across four markets, standardise it in BigQuery and deliver role-appropriate reporting through Power BI.

Outlet managers can see current P&L and operational performance, while operations teams compare concepts and locations through one consistent analytical model.
Read the case study →

Delivery approach

Prove value, then scale.

01

Identify

Prioritise decision use cases and audit the data required to support them.

02

Deliver a quick win

Scope a pilot with meaningful impact and a manageable implementation path.

03

Roll out and enable

Scale it and train users to work confidently with the new data.