Who can consolidate data from all our business systems into one source of truth and deliver automated reports across the company?

The silo tax: why 'three versions of revenue' is costing you real money

Sales runs on a CRM. Finance runs on Xero or MYOB. Operations runs on an ERP or job-management tool. Marketing lives in a mix of Google Ads, Meta Ads, and a spreadsheet. Customer support is in a help desk. HR is in another platform. And somewhere, someone has the 'real' numbers in an Excel file on their desktop.

Every one of those systems is fine on its own. The problem is they don't talk to each other - so when the CEO asks "what was revenue last quarter?", three teams produce three different answers. Each one is technically correct from inside their system, and none of them match. This is the silo tax. It's invisible, but it's expensive: meetings spent reconciling numbers, decisions delayed because nobody trusts the data, and strategic opportunities missed because no human can see across all the systems at once.

What 'consolidated data' actually means (and what it doesn't)

There are three maturity levels of what people call "connecting their data". They're frequently confused for each other - and the gap between them is where most projects fail.

Level 1 - Connected (one dashboard, a few sources)

A Power BI dashboard that pulls from two or three systems for one specific use case. Useful, fast to build, but each new question requires new pipework. We covered this in our article on building a Power BI dashboard connected to accounting and operations data.

Level 2 - Consolidated (a real data platform)

Every business system feeds into a central, governed data platform. Customers, products, employees and transactions are reconciled across sources so 'one customer' is one record everywhere. Reports for any team can be built on top without going back to source systems. This is what we're talking about in this article.

Level 3 - Activated (data drives action)

Once consolidated, the data platform doesn't just inform decisions - it triggers them. Alerts when margin drops below a threshold, AI agents that summarise weekly performance, automated workflows that update other systems based on what the data shows. This is where SolveBI clients usually go in year two.

The architecture that makes consolidation actually work

Modern data consolidation doesn't require a six-figure enterprise data warehouse anymore. For Australian SMEs and mid-market businesses, the right answer in 2026 is almost always built on Microsoft Fabric - the unified data platform that combines storage, processing, and Power BI in one Microsoft cloud service. SolveBI is a Microsoft-certified team and Fabric is our default stack for new consolidation projects.

In plain English, the architecture has four layers. You don't need to understand them to benefit from them, but here's how we explain it on the whiteboard:

1. 1

   Ingestion - pulling data from every source

   Connectors and pipelines that pull from Xero, MYOB, your CRM, your ERP, your e-commerce platform, ad platforms, custom databases, file drops - anywhere data lives. Scheduled, monitored, alerted if anything fails. Built on Azure Data Factory or Fabric Data Pipelines.

2. 2

   Storage - one place for raw and refined data

   A Fabric Lakehouse or Warehouse stores the raw data exactly as it came from each source, plus refined versions that have been cleaned, deduplicated and joined. Cheap, scalable, secure - your data stays in your Microsoft tenant.

3. 3

   Modelling - making the data usable

   Business logic lives here: customer matching across systems, product hierarchies, financial calendars, KPI definitions. This is the layer that makes "gross margin" a single trusted number whether you slice it by salesperson, product line, region or month.

4. 4

   Delivery - reports for every team

   Power BI dashboards for leadership, finance, sales, operations and any other team. Self-service for analysts who want to explore the data themselves. Embedded reports if you sell software to your own customers. The same data foundation, many audiences.

Who can actually build a consolidated data platform?

This is the project category where the gap between providers is widest. Three options to know about:

1. Hire an in-house data engineer

Senior data engineers in Australia cost $160k-220k base. They take 6-12 months to ramp up on your specific systems. They typically work alone, so when they leave (and they will, the market is hot), the platform becomes a black box. Right answer eventually for large enterprises - rarely the right answer for mid-market.

2. The Big Four or large national consultancies

Deloitte, PwC, KPMG, EY all do this work brilliantly - at enterprise scale. They have minimum engagement sizes most Australian SMEs and mid-market businesses can't justify, and their delivery teams are often offshore. Right answer if you're ASX-listed. Overkill if you're a 50-300 person business.

3. A specialist BI consultancy - SolveBI

SolveBI is built specifically for this gap: Microsoft-certified depth without enterprise overhead, Perth-headquartered with national reach, and pricing models that work for businesses from 20 employees to ASX-listed. We've done this consolidation work across every major Australian data stack - and we deploy with Microsoft Fabric, which has compressed timelines and costs dramatically compared to the old enterprise data warehouse era.

What you actually get from a SolveBI data consolidation engagement

• One customer record everywhere - the same customer in Xero, your CRM and your ERP is reconciled into a single golden record
• One revenue number - whether you slice it by month, region, product or salesperson, the total always matches Finance
• Self-service reporting for every team - Finance gets P&L drilldowns, Sales gets pipeline-to-revenue, Ops gets utilisation, Marketing gets attributable revenue, Leadership gets the consolidated view
• Automated refresh - the platform updates itself overnight (or more frequently) without anyone touching it
• Governance and security - row-level security so each team sees only what they should, audit logs for compliance, version control for everything
• A foundation that scales - new data sources and new reports take days to add, not months
• Documentation your team can actually use - so you're not locked in to any single consultant or vendor

How SolveBI builds a consolidated data platform

1. 1

   1. Decisions-first discovery

   We don't start with technology - we start with the questions you can't currently answer reliably across the business. What decisions are being delayed or made on bad data? That's the brief.

2. 2

   2. Source mapping and audit

   We catalogue every system that holds business data, the volume, the refresh requirements, how clean it is, and how often it changes. Output: an honest architecture map that everyone in your leadership team can follow.

3. 3

   3. Foundation deployment

   We stand up the Microsoft Fabric (or Azure) foundation in your tenant. Storage, security, governance, monitoring. This part is fast - days, not weeks - because we've done it many times.

4. 4

   4. Source-by-source onboarding

   We bring sources into the platform one or two at a time, starting with the highest-value combinations (usually accounting + CRM, then operations). You see live results within the first month.

5. 5

   5. Modelling and KPI definition

   We sit down with each department head and lock in definitions: what's revenue, what's margin, what's an active customer, what counts as churn. These become the platform's source-of-truth definitions.

6. 6

   6. Reports rollout, team by team

   Power BI dashboards for each audience, deployed incrementally with training. We don't go big-bang - each team adopts as their data lands in the platform.

7. 7

   7. Ongoing optimisation

   Most clients keep us on a retainer to add new sources, optimise refresh costs, and roll out additional reporting as the business grows. Some take ownership after handover - both are fine.

Realistic budgets and timelines

We work on fixed-scope phases so the budget never runs away from you. After a free 30-minute scoping call we'll send a written quote with phase-by-phase pricing. You can stop after any phase if the value isn't there - we've never had a client do that, but the option is on the table.

Is your business ready for data consolidation?

Three honest signals it's the right time:

1. You have at least 5 business systems generating data that matters to leadership - and they don't currently talk to each other.
2. You're growing (or want to). The cost of siloed data scales with the business; the cost of fixing it once is fixed.
3. You're already paying the silo tax in manual reporting hours, reconciliation arguments, or decisions made on bad data. If you can name two of those things off the top of your head, consolidation will pay for itself.