Our data is spread across many different systems, where do you start?

We start with a data discovery session, mapping where your data lives, what format it's in, and what decisions you're trying to make with it. Most businesses have more usable data than they think; the challenge is usually consolidation and consistency, not volume. We connect to your existing systems, accounting software, CRM, line-of-business apps, spreadsheets, and build the data layer before we build anything visual.

Do we need a data warehouse to get good reporting?

Not always. For simpler reporting needs, Power BI can connect directly to your source systems and produce excellent dashboards without a formal data warehouse. A warehouse becomes worthwhile when you have multiple systems with conflicting data, high query volumes, or compliance requirements around data retention and auditability. We'll recommend the right architecture for your actual needs, not the most complex one.

How long does it take to build a dashboard?

A focused Power BI dashboard covering one business area, financial performance, service delivery, sales pipeline, typically takes two to three weeks from data access to delivery. The timeline is usually driven by data quality and access, not the build itself. Complex multi-system analytics with a data warehouse underneath take longer, we scope each engagement individually.

AI & Data Intelligence · Data & Reporting · Power BI

Your data is already telling a story. We help you read it.

Most businesses are sitting on data spread across spreadsheets, line-of-business apps and cloud services that don't talk to each other. We bring it together into reporting that's clear, automated and actually useful for decisions.

Book a Discovery Call What's included

Your data, working for you

Dashboards that answer
the questions you actually ask.

We don't build beautiful reports that nobody looks at. We start with the decisions your leadership team needs to make, then work backwards to what data is needed and how it should be presented. Every dashboard we build gets used.

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Data & Reporting

From scattered data to clear decisions. In weeks, not months.

We've delivered reporting projects for South Australian businesses across a wide range of industries, from financial services to healthcare and facilities management. The pattern is consistent: businesses that make decisions from good data move faster and make fewer expensive mistakes.

What a data & reporting engagement covers:

Power BI dashboards: Financial, operational, sales and service reporting
Data consolidation: Accounting, CRM, LOB apps and other source systems connected into a single layer
Automated reporting: Scheduled generation and distribution without manual steps
Live monitoring: Real-time dashboards for operational and service teams
KPI tracking: Performance measurement against targets across business units
Financial analytics: P&L, cashflow, budget vs actual
Data warehouse: Lakehouse design and build on Azure for high-volume or multi-source environments
Trend analysis: Historical data reporting and forecasting models

Microsoft Power BI specialists

Power BI is Microsoft's reporting platform, and when it's set up properly, most businesses end up using it every day. We handle the licensing assessment, data connections and dashboard build so your leadership team has a single, live view of the business.

Pair your reporting with workflow automation to close the loop, with data flowing in automatically and reports distributed without anyone lifting a finger.

Platforms

The right data stack. For your scale and budget.

We match the architecture to the need. Not every business needs a full data warehouse, and not every business can get away without one.

Power BI & Microsoft Fabric

The natural starting point for Microsoft 365 environments. Direct connections to your data sources, rich visualisation and mobile-ready dashboards, with Power BI Pro or Fabric licensing assessed as part of scoping.

Azure Data Platform

For businesses needing a centralised data layer: Azure Data Lake, Synapse Analytics or Azure SQL. Handles high volumes, multiple sources and complex transformations, with Power BI on top for the reporting layer.

AWS Data Stack

For workloads already running in AWS or where a cloud-native data layer makes more sense. S3 as the data lake, Redshift for warehousing, and QuickSight or a BI layer of your choice on top.

Custom & hybrid

Sometimes the right answer is a lighter-weight custom solution: a Python-built report, a scheduled extract, or a connector between two systems that don't talk natively. We build what fits.