We’ve helped organisations across New Zealand and Australia turn data into action for over 30 years. Here’s how data mining can be used in different industries:
Retail
Segment the customer base, predict future purchases, personalise marketing campaigns, and optimise stock levels across channels.
Financial services
Detect fraud, assess customer credit and risk, and recommend tailored products.
Telecommunications
Predict customer churn, understand usage behaviours, and forecast customer lifetime value.
Government and public sector
Evaluate policy outcomes, allocate resources efficiently, analyse citizen feedback, and ensure regulatory compliance.
Energy and utilities
Forecast consumption trends, schedule maintenance, and manage smart grids.
Travel and tourism
Analyse booking behaviour, identify seasonal demand trends, and dig into what drives customer satisfaction.
Whatever your industry, if you’ve got data, our data mining and knowledge discovery solutions can help you make the most of it.
Data mining and knowledge discovery case study
The challenge
The Child Cancer Foundation is dedicated to helping Kiwi families through the unthinkable – a child cancer diagnosis. The not-for-profit approached Datamine with a common problem: mountains of customer data and no clear way to make sense of it.
The analysis
Datamine cleaned and structured its existing donor data, identified key behavioural patterns using segmentation and clustering, developed predictive models to anticipate which donors may leave, and gave the marketing team clear insights to help run more targeted campaigns.
The results?
- Campaign conversion rates increased by 25%.
- Customer retention improved by 18% over 12 months.
- Marketing spend became more efficient and ROI-driven.
Read the full case study
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