Data Measurement & Analytics
Turn all that data into something useful
Social organisations collect mountains of data, but it is often trapped in disparate systems or poor-quality spreadsheets. Staff waste thousands of hours annually on manual reporting instead of service delivery.
We help social organisations clean, automate, and visualise their data to prove outcomes and improve service.
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Answer your toughest questions
Variance Analysis: What drives the difference between locations?
Why does your North site consistently achieve better housing outcomes than your South site? Is it the staff culture? The fidelity to the model? Or is the client demographic simply harder to serve? We control for variables to isolate the true drivers of performance, allowing you to replicate success across your organisation.
Client Segmentation: Who are we actually serving?
Move beyond basic demographics like age or gender. We use statistical clustering to find "natural segments" in your client base—grouping people by their specific needs, behaviors, and risk profiles. This allows you to design distinct service pathways that are tailored for specific cohorts, rather than a "one size fits all" approach.
Drivers Analysis: What creates the result?
What is the precise "dosage" of support required to get a result? We analyse client journeys to find the tipping point. For example, do outcomes improve significantly after 10 hours of counselling, or do they plateau after 5? Knowing this allows you to stop over-servicing some clients and redirect resources to where they make the biggest difference.
Cluster Analysis for Clients
Get your data house in order
Before we build, we define. We work with your senior practitioners to design a Monitoring, Evaluation, and Learning (MEL) framework that focuses on measuring meaningful client changes, not just activity counts.
We build secure data pipelines that pull raw data from your CMS, CRM, and spreadsheets. We script the cleaning process to handle duplicates, errors, and messy formatting automatically every night.
Visualise the change your program creates. Track longitudinal outcomes for beneficiaries, segment success rates by demographics, and provide robust evidence for your next funding pitch or tender preparation.
Before we build, we define. We work with your senior practitioners to design a Monitoring, Evaluation, and Learning (MEL) framework that focuses on measuring meaningful client changes, not just activity counts.
How do we do this?
First - develop a strong business case - most projects pay for themselves in cost savings within 18 months - e.g. just 20 staff saving 5 hours a week from improved data tools is 4,800 hours per year (that’s 3 full time staff in savings) or $200-$300,000 per year.
Develop your Monitoring, Evaluation and Learning Framework - getting focused on what to measure, what not to measure, and how this informs your Client Management System and other IT tools.
Automate data cleaning and integration - using data warehouses and back-end coding you can combine and improve data direct from your CMS or other systems
Build pipelines of data to the right places - making sure the data can be processed live means data is always up to date.
Develop practical dashboards and reports - managers and frontline staff get the charts and numbers they need to make better decisions, and reporting goes to the right users without fuss.
Frequently asked questions
No. You will still use your existing CMS (e.g., Salesforce, Dynamics, Penelope) to capture personal client data. Our analytics platform sits "on top" of these systems to pull, clean, and visualise the data in ways your CMS cannot.
Articles and Case Studies
