Data and AI Consultancy
DATA ANALYTICS
Data systems built for trust, scale, and operational decisions
We build the data infrastructure, governance, reporting, and migration capability that modern businesses rely on.
Data Engineering
Data Governance
Data Visualisation
Data Migration
— DATA ENGINEERING
The dashboard is the last 20%. We build the other 80%.
Most BI failures aren't visualisation problems. They're data foundation problems. We fix that.
THE PROBLEM
Your Power BI reports look fine. But your sales team and finance team pull different revenue numbers for the same period. Nobody's sure which one to trust. Your CEO has stopped using the dashboard.
This is a data engineering problem, not a dashboard problem.
WHAT WE BUILD
DATA PIPELINES
Automated ingestion from your ERP, CRM, finance system, and any other source of record. Data flows on a schedule. No manual exports.
TRANSFORMATION LAYER
Raw data from source systems is messy, inconsistent, and structured for transactions. We clean, standardise, and reshape it.
SEMANTIC LAYER/ DATA MODEL
The business logic layer that defines what "revenue" means,how to calculate "churn", what counts as an "active customer". This is the layer mostbusinesses skip. It's also the layer most businesses regret skipping.
SINGLE SOURCE OF TRUTH
One place where the numbers are right. Trusted by finance, operations, and commercial teams alike.
MICROSOFT FABRIC AND AZURE DATA PLATFORM BUILDS
We work in the Microsoft ecosystem. If you're on Azure, Fabric, Synapse, or heading that direction, we know the stack.
Who Is It For
IT Managers and Head of Data at mid-market businesses who are tired of maintaining brittle Excel-based reporting, dealing with manual data reconciliation, or managing a BI tool that nobody trusts.
TECHNOLOGY STACK
SQL Server
Azure Data Factory
Python
Microsoft Fabric
DBT
Power BI
Dataverse
— DATA GOVERNANCE
Data governance isn't a compliance exercise. It's how you make your data actually usable.
Without governance, every data investment degrades over time. We put the structures in place that make it last.
THE PROBLEM
You've invested in a data warehouse. Dashboards have been built. But six months later, numbers are drifting. Fields are being populated inconsistently. New systems have been added and nobody updated the documentation. The data team is spending 40% of their time firefighting data quality issues rather than building new capability. This is a governance gap.
WHAT WE BUILD
DATA DICTIONARY AND BUSINESS GLOSSARY
Documented definitions for every metric and dimension your business reports on. What does "customer" mean? When is a sale a sale? Written down, agreed on, version controlled.
DATA OWNERSHIP MODEL
Every data domain has a named owner who is accountable for its accuracy. We establish that structure and make it stick.
DATA QUALITY FRAMEWORK
Rules, checks, and alerts that catch data quality issues before they reach your reports. Automated where possible.
MASTER DATA MANAGEMENT
For businesses with multiple systems, entities like customers, products, and locations often exist in three different places with three different IDs. We consolidate and manage that.
ACCESS AND SECURITY CONTROLS
Who can see what, who can change what, and how do you know when something's been changed.
COMPLIANCE READINESS
For businesses in regulated industries (healthcare, finance, property), we ensure your data practices are defensible.
— DATA VISUALISATION
Dashboards your team will actually use.
We design for decisions, not aesthetics. The right metric, in the right place, at the right time.
THE PROBLEM
Most businesses have dashboards. Very few have dashboards that drive action.
The gap is usually one of three things: the data underneath isn't trusted, the metrics shown don't map to the decisions people make, or the design is so cluttered that insight is buried.
WHAT WE BUILD
EXECUTIVE DASHBOARDS
Revenue, margin, pipeline, headcount. The five to eight numbers your leadership team needs every Monday morning, updated automatically, on one page.
OPERATIONAL DASHBOARDS
Production throughput, job completion rates, SLA performance, inventory levels. Built for the people running the business day to day.
FINANCIAL PERFORMANCE REPORTING
P&L, budget vs actuals, cash flow, debtor ageing. Built to replace the month-end Excel pack that takes your finance team three days to produce.
SALES AND PIPELINE REPORTING
Conversion rates, pipeline velocity, rep performance, customer acquisition cost. The numbers your commercial team needs to hit their targets.
CUSTOM KPI FRAMEWORKS
For businesses that need a tailored set of metrics designed from scratch around how they actually operate.
Our Approach
Every dashboard engagement starts with a decision inventory — we ask: what decisions does this dashboard need to support? We design backwards from the answer. The result is a report your team uses because it tells them something they need to know.
TECHNOLOGY STACK
Power BI
DAX
Power BI Embedded
Figma (UX Design)
MIcrosoft Fabric
— DATA MIGRATION
Your new system is only as good as the data you bring into it.
We plan, execute, and validate data migrations so your go-live is actually a go-live.
THE PROBLEM
ERP and platform migrations fail because of data, not technology. The new system is ready. But customer records are duplicated. Product codes don't match. Historical transactions are formatted differently.
Go-live gets pushed back. Or worse, you go live with dirty data and spend the next twelve months cleaning it up while the business runs on broken information.
WHAT WE BUILD
SOURCE SYSTEM ANALYSIS
We map every data entity in your current system: structure, volume, quality, and dependencies.
DATA CLEANSING AND STANDARDISATION
Before migration, we clean your data. Deduplication, format standardisation, gap filling, validation.
MIGRATION MAPPING
Detailed field-by-field mapping from source to target system, with transformation logic documented.
TEST MIGRATIONS
We run multiple test migrations before go-live, each with a validation report showing data completeness and accuracy.
CUT-OVER PLANNING
We manage the data component of your cut-over plan, including parallel run periods and rollback procedures.
POST-MIGRATION VALIDATION
We stay engaged after go-live to catch and resolve any data issues that surface in the first weeks of operation.
Our Approach
Every dashboard engagement starts with a decision inventory — we ask: what decisions does this dashboard need to support? We design backwards from the answer. The result is a report your team uses because it tells them something they need to know.
TECHNOLOGY STACK
MYOB
Xero
SAP
Oracle
Dynamics 365
Salesforce
NetSuite
Sage
Custom SQL Databases
Azure Data Lake