VeiraMal’s HR analytics services help Australian businesses unlock the insights in their people data, from reducing turnover costs to ensuring payroll accuracy. Here’s how.
The average Australian SME owner makes HR decisions based on a combination of instinct, observation, and the information that happens to be immediately available. This isn’t criticism, it reflects the reality of running a business where HR decisions compete with sales calls, client demands, and cash flow management for attention. But gut-feel HR decisions carry real dollar costs that most businesses have never quantified.
VeiraMal’s HR analytics services change this equation. By applying structured data analysis to the workforce information your business already captures, payroll records, leave data, headcount, performance reviews, engagement surveys, VeiraMal surfaces the insights that allow you to make better, faster, and more defensible HR decisions. For a full overview of VeiraMal’s analytics capability, see the HR Analytics and Reporting service page.
What Is HR Analytics?
HR analytics (also called people analytics) is the systematic use of workforce data to generate insights that improve HR outcomes and business performance. It ranges from basic workforce reporting, headcount, turnover rate, absenteeism, through to predictive modelling that identifies which employees are likely to leave in the next six months, which recruitment channels produce the highest-performing hires, and what workforce configuration will best support planned business growth.
In Australia, HR analytics has historically been seen as a capability for large enterprises. VeiraMal has worked to change that. Through the VeiraMal HR Analytix platform and the analytics consulting capability of VeiraMal’s team, Australian SMEs can access meaningful, actionable people analytics without enterprise-scale investment or a dedicated internal data team. See the HR Analytix platform for details.
The Four Levels of Analytics VeiraMal Delivers
Level 1: Descriptive Analytics – What Is Happening?
Descriptive analytics is the foundation. VeiraMal builds workforce dashboards that give you an accurate, real-time picture of your business: headcount by department and employment type, voluntary and total turnover rate, absenteeism rate, leave liability by team, time-to-hire, and cost-per-hire. These metrics, tracked consistently over time, are the baseline that makes everything else possible.
Most businesses that come to VeiraMal don’t have a reliable, consistent picture of even these foundational metrics. They know they have some turnover, but they’ve never calculated the rate. They know leave balances are building, but they don’t know which teams carry the most liability or what the cash exposure is. Descriptive analytics alone, properly implemented, can change how a business manages its people.
Level 2: Diagnostic Analytics – Why Is It Happening?
Diagnostic analytics digs beneath the numbers to explain them. VeiraMal uses diagnostic analysis to understand why turnover has increased in a particular team (is it correlated with a management change, a pay issue, or a shift pattern?), why absenteeism spikes in specific months, and why some recruitment sources produce hires who stay and perform while others produce early leavers.
This level of analysis turns data from a reporting exercise into a genuine management tool. When a pattern is identified and its cause understood, the intervention can be targeted and measured. See VeiraMal’s Tash Talk on The Power of Data-Driven Decision Making in HR for practical examples of diagnostic HR analytics in action.
Level 3: Predictive Analytics – What Will Happen?
Predictive analytics uses historical workforce patterns to forecast future outcomes. VeiraMal applies predictive modelling to identify employees who show early flight risk signals, declining engagement scores, increased absenteeism, reduced participation in development activities, before they submit a resignation.
Predictive analytics also supports workforce planning: what headcount will the business need across departments to support its growth plan? What lead time is required for recruitment in hard-to-fill roles? Where are capability gaps likely to emerge as the business grows, and what development investment is needed now to address them?
Level 4: Prescriptive Analytics – What Should We Do?
Prescriptive analytics translates analysis into specific, actionable recommendations. Given current leave liability, upcoming project demands, and historical absenteeism patterns, what is the optimal staffing configuration for Q3? Given the gender pay gap data from this year’s payroll analysis, which specific role families and pay levels require attention before the WGEA reporting deadline?
This is where VeiraMal’s analytics expertise integrates with VeiraMal’s HR advisory capability, turning data into decisions, and decisions into outcomes. See the Tash Talk on HR Analytics for Better Workforce Planning for a concrete example.
How VeiraMal’s Analytics Services Save Australian Businesses Money
Payroll Audit Analytics
VeiraMal’s analytics team uses payroll data analysis to identify anomalies, patterns, and inconsistencies that indicate compliance risk. Unusual overtime trends, leave balance discrepancies that don’t match accrual rules, pay rates that diverge from award minimums, super calculations that don’t align with ordinary time earnings definitions, these are the signals that payroll audit analytics catches before they become Fair Work liabilities.
This capability integrates directly with VeiraMal’s Payroll Services and HR compliance audit work. For managed payroll clients, analytics-driven payroll compliance monitoring is embedded in the engagement, not an add-on.
Turnover Cost Modelling
VeiraMal builds turnover cost models that quantify the true dollar impact of current voluntary turnover rates for each client. For most businesses, the first time they see this number, it’s significantly higher than they assumed, and the business case for retention investment becomes immediately compelling.
The turnover cost model informs the retention strategy: it shows which roles carry the highest replacement cost and therefore which turnover risk to prioritise; it quantifies the ROI of different retention interventions; and it provides an objective basis for investment decisions in compensation, development, and management capability.
Gender Pay Gap Analysis and WGEA Reporting
For businesses with 100 or more employees, VeiraMal’s analytics team prepares gender pay gap analysis as a core component of the WGEA reporting process. This involves calculating the gap across the full workforce and broken down by manager level, occupational category, and employment type, and then modelling the structural factors (occupational segregation, part-time concentration, pipeline composition) that explain the gap.
VeiraMal helps clients understand what their published gender pay gap will show before it’s published, so there are no surprises, and so that if media or stakeholder questions arise, the business has a clear, data-backed narrative ready. See VeiraMal’s Tash Talk on WGEA Reporting Made Simple for Australian Employers and What Is WGEA Reporting for the full compliance picture.
Recruitment Quality Analytics
By tracking the performance and tenure of hires from different recruitment sources and channels, VeiraMal identifies which sourcing approaches generate the best-quality, longest-tenured employees. This analysis allows businesses to concentrate recruitment budget on the channels that deliver, rather than spreading spend across every platform or relying on agency relationships that haven’t been evaluated.
For a broader perspective on how HR analytics is transforming business strategy across Australian organisations, see VeiraMal’s Tash Talk on How HR Analytics Can Transform Your Business Strategy and the Australian HR Institute research on people analytics adoption.
Getting Started with VeiraMal Analytics
VeiraMal’s analytics engagements begin with a data audit, assessing what information is currently being captured, how reliably it’s recorded, and what analytics are immediately possible with existing data versus what requires new data collection processes to be established.
Most businesses discover that the data they need for foundational analytics is already sitting in their payroll system, HRIS, and leave management records, it just hasn’t been structured and analysed. VeiraMal builds the analytics framework, implements the reporting, and trains the relevant internal stakeholders to use it, so the capability stays with the business after the initial engagement.
Book a free analytics consultation with VeiraMal. We’ll show you what your data is already telling you, and how to act on it to save money, reduce risk, and make better decisions.
