Data Analytics
Numbers that tell stories. Not just facts.
FP&A support that goes beyond spreadsheets scenario analysis, variance explanation, and forward-looking guidance for your clients’ board conversations.
Data Analytics Services
Accounting data tells a story. But most firms stop at the numbers: revenue, margin, expenses, trends. We dig deeper. We look at transaction-level patterns, customer behaviour, product profitability, and operational efficiency and we prepare insights your clients can act on. Not PowerPoint charts that look good in a board deck. Insights that change behaviour. We integrate your clients’ data (financial, operational, customer), build dashboards and analytics, and provide quarterly or monthly commentary that explains what’s happening in the business and why it matters. Your team stays close to the client relationship. We handle the data architecture, the analysis, and the storytelling.
What We Deliver
Data Integration and Architecture
We connect your client’s financial system, operational data, and customer database into a single analytical environment.
Custom Dashboard and Visualization
KPI dashboards tailored to the client’s business model showing revenue, margin, cash, efficiency, and growth metrics in real time.
Trend Analysis and Anomaly Detection
Month-over-month and year-over-year trend analysis with automatic flagging of unusual activity helping clients spot issues early.
Customer and Product Profitability
Deep-dive analysis of which customers, products, or channels drive returns and which ones don’t.
Profitability Analysis by Segment
For SaaS, subscriptions, and recurring revenue businesses cohort analysis showing customer retention, churn, and lifetime value by acquisition cohort.
Operational Efficiency Metrics
Headcount productivity, asset utilisation, inventory turnover, accounts receivable aging, and cash conversion cycle analysis.
Variance and Cause Analysis
Monthly variance explanation with root-cause analysis drilling down to product, customer, or geography level.
Predictive Analytics
Forecast and scenario models that predict future performance based on current trends supporting strategic planning and decision-making.
Executive Reporting and Commentary
Monthly or quarterly reporting packages with narrative explanation turning data into boardroom-ready insights.
By Market
Common analytics focus: Customer lifetime value, channel profitability, SaaS metrics (MRR, ARR, churn), working capital optimisation.
We work with professional services firms, software companies, manufacturers, and hybrid models. Integration with Salesforce, NetSuite, and other enterprise systems standard.
Common analytics focus: Customer segment profitability, contract profitability (professional services), margin trend analysis, cost inflation tracking.
We support SMEs and mid-market firms. Brexit-aware supply chain and cost impact analysis available.
Common analytics focus: Product and geography profitability, NDIS provider KPI tracking, aged care occupancy and revenue analysis, mining and export exposure.
If your client is in regulated sectors, our team understands compliance-driven metrics and reporting requirements.
Common analytics focus: Revenue by province and customer segment, working capital and cash flow optimisation, currency exposure, R&D credit maximisation.
Cross-border business analytics supported.
Common analytics focus: Revenue and margin by customer segment, agricultural and commodity exposure, foreign exchange impact on exports.
Dairy, agricultural, and export-focused analytics supported.
Common analytics focus: Revenue by market segment (local vs. export),
cost inflation (labour, utilities), commodity and oil price exposure.
Freezone vs. mainland profitability and compliance cost impact supported.
Implementation Timeline
Week 1–2: Discovery
We audit your client’s data sources, understand the business model, and identify key questions they want answered.
Week 3–4: Data Architecture
We build the data pipeline, connecting financial, operational, and customer data into a single analytical environment.
Week 5–6: Dashboard Build
We design and build the KPI dashboard – testing against client requirements
and iterating until it’s right.
Week 7–8: Historical Analysis
We backfill 1–2 years of historical data and validate the analytics against known results.
Ongoing: Monthly or Quarterly Analysis
We update the dashboard with latest data, prepare trend analysis, and deliver
commentary on what’s changing and why.
Without data analytics, clients make decisions on gut feel. They miss patterns. They double down on unprofitable products or customers. They react to crises instead of anticipating them.
With data analytics, clients see the full picture. They understand where returns come from. They make decisions with confidence. Board conversations shift from “what happened” to “what’s working, what isn’t, and what should we do next.”
The Numbers That Matter
300+
Custom dashboards
Clients using insights
Ready to help your clients see patterns they’re missing?
Let’s discuss your data analytics opportunity.
