Executive Summary
For NDIS providers offering Supported Independent Living (SIL), sustainable expansion depends entirely on understanding the financial health of each individual property. This case study explores how Befree helped a growing SIL provider move from blind expansion to data-driven growth by building a dynamic Power BI framework that unifies payroll cycles and NDIS revenue tracking.
Client Snapshot
Industry: NDIS – SIL
Geography: New South Wales, Australia
Operational Context: Rapid portfolio expansion of Supported Independent Living (SIL) homes with limited visibility into house-by-house profitability and fragmented data silos across rostering, payroll, and NDIS revenue tools.
Engagement Focus: Power BI Intelligence Layer, Multi-Source Data Aggregation, House-Level Profitability Analytics, and NDIS Revenue vs. Payroll Synchronisation
The Challenge: Expanding Without Financial Visibility
Our client was actively scaling operations and opening new SIL houses to meet community demand. However, their management team was operating with a critical blind spot: they lacked real-time visibility into individual house expenses and revenue models, leading to systemic business risk:
Blind Expansion
The client was opening new SIL properties without having actual financial viability or knowing the baseline profit margins of their existing locations.
Fragmented Data
Roster costs, payroll figures, overheads, and NDIS revenue claims lived in separate, completely disconnected software silos.
Delayed Decision-Making
Without a consolidated view of their actual financial position, management had to rely on guesswork or delayed end-of-month accounting figures to evaluate operational success.
The Solution: A Unified Power BI Financial Intelligence Dashboard
We stepped in to engineer a robust data-consolidation system, transforming raw, fragmented information into an intuitive, real-time strategic asset for the executive team:
1. Data Aggregation & Integration
We centralised the client’s disparate data streams, securely extracting operational insights from their rostering software, payroll engine, and NDIS billing records into a unified data warehouse model.
2. Synchronisation with the Payroll Cycle
To ensure high-fidelity accuracy, we aligned data refresh cycles directly with the client’s payroll schedule. This enabled a precise side-by-side comparison of major staffing expenses against corresponding revenue generated within the same timeframe.
3. Custom Power BI Dashboard Deployment
We built an interactive Power BI dashboard tracking Cost vs. Revenue Mapping (support worker wages vs. NDIS funding generated), Per-House Profitability Tracking (isolating individual property performance), and Live Operational Position dashboards.
The Outcome: Data-Driven Expansion and Total Clarity
The implementation of the Power BI intelligence layer fundamentally shifted how the client manages their portfolio, replacing operational uncertainty with absolute financial precision:
Instant Financial Clarity
Management now has an unequivocal, real-time view of individual SIL house financial performance, eliminating unexpected funding shortfalls.
Optimised Labour-to-Revenue Ratios
By seeing payroll costs alongside NDIS revenues each cycle, the client can instantly spot roster inefficiencies, excessive overtime, or under-funded care plans.
Confident, Risk-Mitigated Scalability
Armed with a repeatable financial blueprint, leadership can now confidently model and open new SIL homes, knowing exactly when a property achieves profitability.
Proactive Resource Allocation
Instead of reacting to past balance-sheet losses, leadership can actively adjust staffing levels and operational strategies on the fly.
In this engagement, Befree provided more than just a dashboard to the client. The team handed a map with which the client could scale their SIL operations with absolute confidence, backed by real-time financial truth.