Tāmaki Makaurau Auckland
Stop rebuilding the same spreadsheet every month.
DataHorizon replaces manual Excel reporting with governed Power BI and Microsoft Fabric platforms — then engineers the pipelines, predictive models and applications that turn those numbers into decisions your team can act on.
A senior Auckland team across BI, data engineering, governance and AI — the blend most organisations are trying, and failing, to hire one person at a time.
Connect the dots
Signal, not noise ↗
Positioning
Most consultancies hand over a report. We hand over the system the decision runs on.
DataHorizon works across the full span — data engineering, semantic modelling, AI, and the application layer. That means no handoff gap between the team that models your data and the team that builds the interface your people actually use.
Problems we solve
If one of these is being said out loud in your business, start there.
“Our reporting is a spreadsheet someone rebuilds every month.”
Excel is still the incumbent BI tool in most Auckland finance and ops teams. We move that estate onto a governed Power BI model with automated refresh — and retire the manual rebuild.
BI & SEMANTIC MODELING →“Two reports, two different numbers, same question.”
Metric sprawl is a definition problem, not a dashboard problem. We build one certified semantic layer in Power BI and Fabric so every report resolves to the same measure.
BI & SEMANTIC MODELING →“Nobody trusts the data behind the dashboard.”
Data quality upstream of reporting is the most common failure we're called into. We fix ingestion, reconciliation, lineage and access control so the numbers survive scrutiny.
DATA ENGINEERING & GOVERNANCE →“We need to move off legacy — or off spreadsheets — onto Fabric.”
Assessment first, then a phased migration on Azure with Fabric Lakehouse, Snowflake or Databricks and dbt/ADF transforms. No big-bang cutover, no reporting blackout.
DATA ENGINEERING & GOVERNANCE →“The board wants AI but our reporting is broken.”
You cannot model on data you can't reconcile. We run an AI-readiness audit on your reporting estate, then ship the first predictive model where the data is already trustworthy.
AI & PREDICTIVE MODELING →“We have the insight but no way to act on it.”
Dashboards end at the read. We build the portal, approval flow or field-capture app that writes the decision back into your systems — the layer BI-only firms don't deliver.
INTELLIGENT WEB APPLICATIONS →Who we work with
The same problem shows up at fifteen people and at fifteen hundred. The entry point differs.
10–150 staff
Growing NZ businesses
Your reporting lives in spreadsheets and one person rebuilds it every month. We turn that into an automated Power BI report set your team owns — no platform programme required.
Typically $12k–$20k + GST for the first release
Spreadsheet-to-Power-BI reporting rescue200+ staff
Enterprise data teams
You already have BI authors, Azure and a backlog. We add senior capacity where it hurts: certified metric definitions, governed pipelines, and Fabric migration without a reporting blackout.
Assessments from $9k + GST; build phases typically $25k–$60k + GST
Metric governance & semantic layerCouncils, agencies, CCOs
Public sector
Reporting that stands up to scrutiny — auditable lineage, documented definitions, accessible dashboards, and data that stays onshore. Procurement-ready documentation from day one.
Fixed-scope audits from $9k + GST; phased delivery quoted per stage
Fixed-scope reporting & AI-readiness auditPublic sector
Built for the obligations you actually get audited against.
We deliver for councils, agencies and council-controlled organisations under the constraints that matter to them: personal information handled to Privacy Act 2020 expectations, data kept in New Zealand or Australian Azure regions, security controls aligned to NZISM guidance, and accessibility conformance treated as a delivery requirement rather than a retrofit. Engagements can be run as fixed-scope stages so the spend fits an existing delegation, and we respond through GETS with the standard documentation already prepared.
- Privacy Act 2020 obligations designed into the model, not bolted on
- New Zealand data residency — Azure Australia East / New Zealand North regions
- WCAG 2.1 AA delivery for every dashboard and application we hand over
- GETS-ready: standard-form responses, insurance, references and security documentation on file
Scoping conversations are free, and there's no NDA needed to talk. Book 30 minutes.
Our capabilities · The services we provide
Intelligent Web Applications
Portals your operators actually open.
High-performance, responsive internal portals and customer applications built on React, TypeScript and Vite, styled with Tailwind CSS and backed by scalable Supabase infrastructure — including installable Progressive Web Apps when teams need app-like mobile access without app store friction.
- React
- TypeScript
- Vite
- Tailwind CSS
- Supabase
- PWA
AI & Predictive Modeling
AI in the engine room, not the pitch deck.
You cannot model on data you can't reconcile, so we treat data quality as the first AI deliverable. Then we apply AI where it compounds: entity resolution, predictive analytics on operational history, and intelligent process automation wired into the tools your teams already use.
- Feature stores
- Predictive models
- LLM automation
- Evaluation harnesses
Advanced BI & Semantic Modeling
One definition of every number.
The bulk of Auckland reporting work is still manual Excel. We move it onto governed Power BI semantic models built with deep DAX and Power Query mastery, orchestrated through Microsoft Fabric — so refresh is automatic and every report resolves to the same certified measure.
- Power BI
- Microsoft Fabric
- DAX
- Power Query
- Semantic layers
- Excel migration
Data Engineering & Governance
Pipelines that hold under load.
Untrusted data is the reason most dashboards get ignored. We fix it upstream: ingestion and orchestration across Microsoft Fabric Lakehouse, Snowflake or Databricks on Azure, with dbt and Data Factory transforms, reconciliation tests, lineage and access control built in from the first commit.
- Microsoft Fabric
- Azure
- dbt
- Snowflake / Databricks
- Lineage
- Data contracts
The platform, not the dashboard
One certified model, every number resolving to the same measure.
A governed semantic layer sits between your warehouse and the interface — so a portal, a predictive score and the executive report all read the same truth.
1
certified model
0
conflicting numbers
4–6wk
to first release
Net revenue
$4.82M
▲ 18.4% YoY
Gross margin
41.2%
▲ 2.1 pts
Days to close
3.1
▼ from 7.4
Net revenue · trailing 12
+18.4%
How engagements start
ALL ENGAGEMENTS →The front door
Spreadsheet-to-Power-BI reporting rescue
Manual Excel reporting that won't scale, no automation, and a monthly close that eats a week of senior time.
4–6 WEEKS TO FIRST PRODUCTION RELEASE
The credibility fix
Metric governance & single-source semantic layer
Every team has its own definition of revenue, margin or utilisation, so leadership meetings argue about data instead of decisions.
6–8 WEEKS PER BUSINESS DOMAIN
The higher-value play
Fabric & modern-stack migration
A legacy BI platform, or a sprawling spreadsheet-and-SQL estate, that can't carry the next three years of reporting or AI.
ASSESSMENT IN 2–3 WEEKS, PHASED MIGRATION FROM THERE
The blended senior capability
Fractional data team — retainer pod
You are trying to hire one person who can do BI, engineering, governance, AI and build the app. That person is not on the market.
MONTHLY RETAINER, THREE-MONTH MINIMUM
The fixed-scope opener
AI-readiness reporting audit
There is board pressure to do something with AI, but the reporting layer underneath it can't be reconciled.
2 WEEKS, FIXED SCOPE
Where the insight gets acted on
Decision application build
The model or dashboard exists, but the decision still happens in email, on paper, or in a spreadsheet nobody governs.
4–6 WEEKS TO A USABLE ALPHA
Method
Diagnose the decision
We start at the decision that is being made badly or late, then trace backwards to the systems and definitions feeding it.
Engineer the pipeline
Ingestion, modelling and governance built as code, with lineage and tests from the first commit rather than after the audit.
Ship the interface
A certified semantic model, a predictive score, or a purpose-built portal — whatever puts the answer where the work happens.
Where our credibility comes from
DataHorizon is a new firm. The delivery record behind it is not.
We won't show you a logo wall or quotes from unnamed executives. What we will do is walk you through the platforms, semantic models and applications our principals have shipped inside organisations, and put you in touch with named, contactable referees during scoping.
- 18+ years
- Combined principal experience
- 6 industries
- Sectors delivered into
- 4–6 weeks
- To first production release
- 2 principals
- On every engagement
Data platform, BI and AI delivery since 2016.
In-house and consulting roles across both principals' careers.
A production-grade slice in your hands before scale-out.
The consultants who design the system are the ones who build it.
Sectors we work in
Logistics & ports · Financial services & insurance · Agritech & primary export · Infrastructure & utilities · Healthcare · Professional services
Want the detail? Ask on the scoping call and we'll take you through the architecture we built, the decisions it changed, and the people who can confirm it. Scoping conversations are free and no NDA is needed to talk.
TALK TO A PRINCIPALTell us the decision you can't make fast enough.
Thirty minutes with the engineers who would run the programme. No pre-sales layer.
Book a consultation