The Australian Death Check combines information from the state and territory registries of births, deaths and marriages. It contains over three million death records and represents the only official source of national death data for Australia.

Lead generation is the practice of finding these potential customers — or giving them the means to find you! — and turning them into qualified leads. Lead generation is important to every business, because it’s the first step to ushering potential customers through your pipeline from awareness and consideration through to conversion. Keeping the pipeline topped up with new leads supports a stable revenue stream and enables a business to operate reliably.

Last week the DCA Data Services team was privileged to attend the 2026 FIA Conference. We enjoyed catching up with our friends and industry colleagues, and were fortunate that this year’s event was held right next door in our beautiful home city of Melbourne.

By definition, data migration is the practice of moving data from one system to another. This sounds simple, but data migrations are often challenging because they are complicated by the way embedded data storage systems develop over time, a wide array of data dependencies and the unique requirements that businesses have for their data.

‘CRM’ is an acronym meaning ‘customer relationship management.’ Customer relationship management describes the way an organisation administers its connections with various customers and is not, per se, a technological intervention; all businesses must manage relationships with customers. However, when we speak of ‘CRM systems’ we mean a specific kind of technology: a collection moving parts that does the heavy lifting of collecting and keeping data that relates to customers and how they engage with the organisation. This data is drawn from every interaction the organisation has with its customers and prospects, which ranges from clicking on a link on a webpage to actually making a purchase and beyond.

Data poisoning refers to an attack intended to corrupt the training data used to train a machine learning (ML) system. ML systems rely on the data they’re trained upon to generalise their responses to novel information. The training data is curated to present the model with an appropriate sample. When that data is compromised, the ML system is also compromised.